{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제32_아시아_민주주의\asian survey\data\code.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}13 Jul 2025, 10:25:16

{com}. by country_1, sort: gen year_1 = _n

. 
. tsset country_1 year_1
{res}{txt}{col 8}panel variable:  {res}country_1 (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year_1, 1 to 768
{txt}{col 17}delta:  {res}1 unit

{com}. ## Europe linear
{err}Unknown #command

{com}. xtreg polity i.Europe##c.pri ln_gdp  , fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2859{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3370{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.3259{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}3{txt},{res}1821{txt}){col 67}={col 70}{res}   243.06
{txt}corr(u_i, Xb){col 16}= {res}-0.0492{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0289622{col 26}{space 2} .0061117{col 37}{space 1}    4.74{col 46}{space 3}0.000{col 54}{space 4} .0169756{col 67}{space 3} .0409489
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0273173{col 26}{space 2}  .009949{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0078047{col 67}{space 3} .0468299
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.910313{col 26}{space 2} .1874707{col 37}{space 1}   15.52{col 46}{space 3}0.000{col 54}{space 4} 2.542633{col 67}{space 3} 3.277993
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.79047{col 26}{space 2} 1.333212{col 37}{space 1}  -19.34{col 46}{space 3}0.000{col 54}{space 4}-28.40526{col 67}{space 3}-23.17569
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.0684305
     {txt}sigma_e {c |} {res} 4.5711667
         {txt}rho {c |} {res}  .4420066{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1821{txt}) = {res}11.75{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe1

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp     if word_war ==0, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       725
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}        53

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2645{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1784{col 63}{txt}avg{col 67}={col 69}{res}      13.7
{txt}     overall = {res}0.1463{col 63}{txt}max{col 67}={col 69}{res}        26

{txt}{col 49}F({res}3{txt},{res}669{txt}){col 67}={col 70}{res}    80.19
{txt}corr(u_i, Xb){col 16}= {res}-0.5322{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}-.0528357{col 26}{space 2} .0147526{col 37}{space 1}   -3.58{col 46}{space 3}0.000{col 54}{space 4}-.0818026{col 67}{space 3}-.0238688
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1084364{col 26}{space 2} .0154801{col 37}{space 1}    7.00{col 46}{space 3}0.000{col 54}{space 4} .0780409{col 67}{space 3} .1388319
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 5.251412{col 26}{space 2} .5368892{col 37}{space 1}    9.78{col 46}{space 3}0.000{col 54}{space 4} 4.197221{col 67}{space 3} 6.305602
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-42.10003{col 26}{space 2} 3.900815{col 37}{space 1}  -10.79{col 46}{space 3}0.000{col 54}{space 4}-49.75935{col 67}{space 3}-34.44072
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 5.4573422
     {txt}sigma_e {c |} {res} 3.7382457
         {txt}rho {c |} {res} .68063487{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}52{txt}, {res}669{txt}) = {res}11.52{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe2

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp     if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1478{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.4476{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.3205{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}3{txt},{res}1096{txt}){col 67}={col 70}{res}    63.38
{txt}corr(u_i, Xb){col 16}= {res}-0.1642{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}  .074688{col 26}{space 2} .0094591{col 37}{space 1}    7.90{col 46}{space 3}0.000{col 54}{space 4} .0561281{col 67}{space 3} .0932479
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0502579{col 26}{space 2} .0452748{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0385772{col 67}{space 3} .1390931
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 1.962421{col 26}{space 2}  .301767{col 37}{space 1}    6.50{col 46}{space 3}0.000{col 54}{space 4} 1.370315{col 67}{space 3} 2.554527
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-22.12645{col 26}{space 2} 2.417715{col 37}{space 1}   -9.15{col 46}{space 3}0.000{col 54}{space 4}-26.87032{col 67}{space 3}-17.38258
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.3466396
     {txt}sigma_e {c |} {res} 4.5263485
         {txt}rho {c |} {res} .47975482{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1096{txt}) = {res}9.93{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe3

. 
. 
. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp    i.year, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3687{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2024{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.2809{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}41{txt},{res}1783{txt}){col 67}={col 70}{res}    25.39
{txt}corr(u_i, Xb){col 16}= {res}0.0395{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}-.0042268{col 26}{space 2} .0071997{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0183475{col 67}{space 3}  .009894
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0270628{col 26}{space 2} .0102424{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0069744{col 67}{space 3} .0471512
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}  1.45531{col 26}{space 2} .3420696{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .7844107{col 67}{space 3}  2.12621
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2}-.6405533{col 26}{space 2} 1.714853{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-4.003887{col 67}{space 3}  2.72278
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} .3529039{col 26}{space 2} 1.576937{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-2.739936{col 67}{space 3} 3.445743
{txt}{space 7}1835  {c |}{col 14}{res}{space 2}-.5871001{col 26}{space 2} 1.580502{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-3.686931{col 67}{space 3} 2.512731
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} .3210475{col 26}{space 2} 1.544397{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4} -2.70797{col 67}{space 3} 3.350066
{txt}{space 7}1845  {c |}{col 14}{res}{space 2} .0737122{col 26}{space 2} 1.580549{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-3.026212{col 67}{space 3} 3.173636
{txt}{space 7}1850  {c |}{col 14}{res}{space 2} 1.772604{col 26}{space 2} 1.374931{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.9240411{col 67}{space 3} 4.469249
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} 1.136877{col 26}{space 2} 1.494949{col 37}{space 1}    0.76{col 46}{space 3}0.447{col 54}{space 4}-1.795159{col 67}{space 3} 4.068914
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.220154{col 26}{space 2} 1.399319{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4}-1.524323{col 67}{space 3} 3.964631
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 2.060643{col 26}{space 2} 1.453383{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.7898708{col 67}{space 3} 4.911157
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 2.852039{col 26}{space 2}  1.25363{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .3933005{col 67}{space 3} 5.310777
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 2.671897{col 26}{space 2} 1.359936{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} .0046617{col 67}{space 3} 5.339133
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 3.378401{col 26}{space 2}  1.35128{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .7281429{col 67}{space 3} 6.028659
{txt}{space 7}1885  {c |}{col 14}{res}{space 2} 3.294312{col 26}{space 2} 1.358209{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4}  .630462{col 67}{space 3} 5.958161
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 3.587443{col 26}{space 2} 1.308257{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} 1.021565{col 67}{space 3} 6.153321
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 3.511711{col 26}{space 2} 1.349655{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .8646398{col 67}{space 3} 6.158783
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.326916{col 26}{space 2} 1.328796{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} 1.720755{col 67}{space 3} 6.933077
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 4.462225{col 26}{space 2}  1.33435{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4}  1.84517{col 67}{space 3}  7.07928
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 4.861539{col 26}{space 2} 1.329224{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} 2.254539{col 67}{space 3}  7.46854
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 5.445606{col 26}{space 2} 1.354126{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} 2.789765{col 67}{space 3} 8.101446
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 6.044805{col 26}{space 2} 1.307466{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} 3.480478{col 67}{space 3} 8.609132
{txt}{space 7}1925  {c |}{col 14}{res}{space 2}  5.10664{col 26}{space 2} 1.312598{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} 2.532248{col 67}{space 3} 7.681033
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 5.021166{col 26}{space 2} 1.320282{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} 2.431702{col 67}{space 3} 7.610629
{txt}{space 7}1935  {c |}{col 14}{res}{space 2} 4.046644{col 26}{space 2}   1.3226{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} 1.452635{col 67}{space 3} 6.640653
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 3.173807{col 26}{space 2} 1.345908{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .5340843{col 67}{space 3}  5.81353
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 4.546492{col 26}{space 2} 1.342235{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} 1.913973{col 67}{space 3} 7.179011
{txt}{space 7}1950  {c |}{col 14}{res}{space 2} 5.384618{col 26}{space 2} 1.317863{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} 2.799899{col 67}{space 3} 7.969337
{txt}{space 7}1955  {c |}{col 14}{res}{space 2} 5.331081{col 26}{space 2} 1.333539{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} 2.715616{col 67}{space 3} 7.946545
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} 5.871492{col 26}{space 2} 1.340201{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} 3.242962{col 67}{space 3} 8.500022
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} 5.234448{col 26}{space 2} 1.368987{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} 2.549461{col 67}{space 3} 7.919436
{txt}{space 7}1970  {c |}{col 14}{res}{space 2} 4.355638{col 26}{space 2} 1.401726{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} 1.606439{col 67}{space 3} 7.104837
{txt}{space 7}1975  {c |}{col 14}{res}{space 2} 3.839114{col 26}{space 2} 1.432493{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} 1.029573{col 67}{space 3} 6.648656
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} 4.246296{col 26}{space 2} 1.465584{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} 1.371853{col 67}{space 3} 7.120739
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} 5.211451{col 26}{space 2} 1.471837{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} 2.324745{col 67}{space 3} 8.098157
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 7.395583{col 26}{space 2}  1.48302{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} 4.486942{col 67}{space 3} 10.30422
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 8.861166{col 26}{space 2} 1.500044{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4} 5.919136{col 67}{space 3}  11.8032
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 9.305348{col 26}{space 2} 1.548955{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} 6.267389{col 67}{space 3} 12.34331
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 9.534432{col 26}{space 2} 1.595399{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} 6.405384{col 67}{space 3} 12.66348
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 9.512049{col 26}{space 2} 1.632803{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} 6.309641{col 67}{space 3} 12.71446
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-16.66793{col 26}{space 2}  2.57876{col 37}{space 1}   -6.46{col 46}{space 3}0.000{col 54}{space 4}-21.72564{col 67}{space 3}-11.61022
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  4.449466
     {txt}sigma_e {c |} {res} 4.3437616
         {txt}rho {c |} {res} .51201937{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1783{txt}) = {res}12.86{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe4

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp   i.year if word_war ==0, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       725
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}        53

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3210{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1234{col 63}{txt}avg{col 67}={col 69}{res}      13.7
{txt}     overall = {res}0.1386{col 63}{txt}max{col 67}={col 69}{res}        26

{txt}{col 49}F({res}28{txt},{res}644{txt}){col 67}={col 70}{res}    10.87
{txt}corr(u_i, Xb){col 16}= {res}-0.3532{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}-.0650015{col 26}{space 2} .0155685{col 37}{space 1}   -4.18{col 46}{space 3}0.000{col 54}{space 4}-.0955728{col 67}{space 3}-.0344303
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0931945{col 26}{space 2} .0155532{col 37}{space 1}    5.99{col 46}{space 3}0.000{col 54}{space 4} .0626533{col 67}{space 3} .1237357
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 3.602426{col 26}{space 2} .7836447{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4} 2.063619{col 67}{space 3} 5.141233
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2} .1291817{col 26}{space 2}  1.48224{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-2.781425{col 67}{space 3} 3.039789
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} 1.308035{col 26}{space 2} 1.366966{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-1.376214{col 67}{space 3} 3.992285
{txt}{space 7}1835  {c |}{col 14}{res}{space 2} .1419086{col 26}{space 2} 1.371125{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-2.550508{col 67}{space 3} 2.834325
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} 1.032462{col 26}{space 2} 1.341847{col 37}{space 1}    0.77{col 46}{space 3}0.442{col 54}{space 4}-1.602463{col 67}{space 3} 3.667386
{txt}{space 7}1845  {c |}{col 14}{res}{space 2} .7859303{col 26}{space 2} 1.374113{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-1.912353{col 67}{space 3} 3.484214
{txt}{space 7}1850  {c |}{col 14}{res}{space 2}  2.17139{col 26}{space 2} 1.212435{col 37}{space 1}    1.79{col 46}{space 3}0.074{col 54}{space 4}-.2094137{col 67}{space 3} 4.552194
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} 1.632272{col 26}{space 2} 1.317881{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.9555915{col 67}{space 3} 4.220135
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.625141{col 26}{space 2} 1.247259{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.8240453{col 67}{space 3} 4.074327
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 2.673626{col 26}{space 2} 1.294989{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .1307154{col 67}{space 3} 5.216537
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 2.801446{col 26}{space 2}  1.11104{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .6197474{col 67}{space 3} 4.983145
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 3.053365{col 26}{space 2} 1.253017{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .5928727{col 67}{space 3} 5.513857
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 3.772057{col 26}{space 2} 1.251903{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} 1.313753{col 67}{space 3} 6.230361
{txt}{space 7}1885  {c |}{col 14}{res}{space 2} 3.655309{col 26}{space 2} 1.276717{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 1.148279{col 67}{space 3}  6.16234
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 3.810458{col 26}{space 2} 1.245895{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} 1.363951{col 67}{space 3} 6.256965
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 3.697309{col 26}{space 2} 1.301497{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  1.14162{col 67}{space 3} 6.252999
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.284613{col 26}{space 2} 1.297308{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} 1.737148{col 67}{space 3} 6.832078
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 4.298118{col 26}{space 2} 1.330274{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4}  1.68592{col 67}{space 3} 6.910316
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 4.527618{col 26}{space 2} 1.365628{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} 1.845997{col 67}{space 3} 7.209239
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 5.269763{col 26}{space 2} 1.375598{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} 2.568564{col 67}{space 3} 7.970962
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 5.875057{col 26}{space 2} 1.368074{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} 3.188634{col 67}{space 3} 8.561481
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 4.952757{col 26}{space 2} 1.418084{col 37}{space 1}    3.49{col 46}{space 3}0.001{col 54}{space 4} 2.168131{col 67}{space 3} 7.737384
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 4.624569{col 26}{space 2} 1.455982{col 37}{space 1}    3.18{col 46}{space 3}0.002{col 54}{space 4} 1.765523{col 67}{space 3} 7.483615
{txt}{space 7}1935  {c |}{col 14}{res}{space 2} 3.629509{col 26}{space 2} 1.460123{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .7623323{col 67}{space 3} 6.496686
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 2.863667{col 26}{space 2} 1.529533{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.1398077{col 67}{space 3} 5.867142
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 4.549493{col 26}{space 2} 1.500448{col 37}{space 1}    3.03{col 46}{space 3}0.003{col 54}{space 4} 1.603131{col 67}{space 3} 7.495855
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-31.30063{col 26}{space 2} 5.817135{col 37}{space 1}   -5.38{col 46}{space 3}0.000{col 54}{space 4}-42.72347{col 67}{space 3}-19.87779
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 5.2233317
     {txt}sigma_e {c |} {res} 3.6609272
         {txt}rho {c |} {res}  .6705863{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}52{txt}, {res}644{txt}) = {res}11.98{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe5

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp    i.year if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2808{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1884{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.2140{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}15{txt},{res}1084{txt}){col 67}={col 70}{res}    28.21
{txt}corr(u_i, Xb){col 16}= {res}0.0301{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}  .006309{col 26}{space 2}   .01121{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-.0156868{col 67}{space 3} .0283048
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0544335{col 26}{space 2} .0422207{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0284102{col 67}{space 3} .1372771
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.2471405{col 26}{space 2}  .414042{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-1.059555{col 67}{space 3} .5652739
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1955  {c |}{col 14}{res}{space 2} .0955985{col 26}{space 2} .7255258{col 37}{space 1}    0.13{col 46}{space 3}0.895{col 54}{space 4}-1.327995{col 67}{space 3} 1.519192
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} .9675246{col 26}{space 2} .7076104{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.4209165{col 67}{space 3} 2.355966
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} .6262472{col 26}{space 2} .7160366{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-.7787275{col 67}{space 3} 2.031222
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}-.0708983{col 26}{space 2}  .738633{col 37}{space 1}   -0.10{col 46}{space 3}0.924{col 54}{space 4}-1.520211{col 67}{space 3} 1.378414
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-.4427276{col 26}{space 2} .7651644{col 37}{space 1}   -0.58{col 46}{space 3}0.563{col 54}{space 4}-1.944099{col 67}{space 3} 1.058644
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} .1366386{col 26}{space 2} .8018726{col 37}{space 1}    0.17{col 46}{space 3}0.865{col 54}{space 4} -1.43676{col 67}{space 3} 1.710037
{txt}{space 7}1985  {c |}{col 14}{res}{space 2}  1.09213{col 26}{space 2} .8099948{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.4972049{col 67}{space 3} 2.681466
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 3.340664{col 26}{space 2} .8228553{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} 1.726095{col 67}{space 3} 4.955234
{txt}{space 7}1995  {c |}{col 14}{res}{space 2}  4.82073{col 26}{space 2} .8392304{col 37}{space 1}    5.74{col 46}{space 3}0.000{col 54}{space 4}  3.17403{col 67}{space 3}  6.46743
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 5.423506{col 26}{space 2} .9004147{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} 3.656753{col 67}{space 3} 7.190259
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 5.909347{col 26}{space 2} .9607682{col 37}{space 1}    6.15{col 46}{space 3}0.000{col 54}{space 4} 4.024171{col 67}{space 3} 7.794523
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 6.108587{col 26}{space 2} 1.009021{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 4.128731{col 67}{space 3} 8.088444
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.0610376{col 26}{space 2} 3.471557{col 37}{space 1}   -0.02{col 46}{space 3}0.986{col 54}{space 4}-6.872771{col 67}{space 3} 6.750696
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  5.191835
     {txt}sigma_e {c |} {res} 4.1813266
         {txt}rho {c |} {res} .60657007{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1084{txt}) = {res}11.99{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe6

. 
. 
. 
. 
. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp   , re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,926
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2859                                         {txt}min = {res}         1
{txt}     between = {res}0.3381                                         {txt}avg = {res}      18.9
{txt}     overall = {res}0.3344                                         {txt}max = {res}        39

                                                {txt}Wald chi2({res}4{txt})      =  {res}   778.72
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}-1.107601{col 26}{space 2} 1.226127{col 37}{space 1}   -0.90{col 46}{space 3}0.366{col 54}{space 4}-3.510766{col 67}{space 3} 1.295565
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0293685{col 26}{space 2} .0059799{col 37}{space 1}    4.91{col 46}{space 3}0.000{col 54}{space 4}  .017648{col 67}{space 3} .0410889
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0269654{col 26}{space 2} .0098105{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0077373{col 67}{space 3} .0461936
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.889037{col 26}{space 2} .1808866{col 37}{space 1}   15.97{col 46}{space 3}0.000{col 54}{space 4} 2.534506{col 67}{space 3} 3.243569
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.58912{col 26}{space 2} 1.366463{col 37}{space 1}  -18.73{col 46}{space 3}0.000{col 54}{space 4}-28.26733{col 67}{space 3} -22.9109
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9115708
     {txt}sigma_e {c |} {res} 4.5711667
         {txt}rho {c |} {res} .42270988{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store europe7

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp   if word_war ==0,  re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}       725
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}        53

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2612                                         {txt}min = {res}         1
{txt}     between = {res}0.3614                                         {txt}avg = {res}      13.7
{txt}     overall = {res}0.3029                                         {txt}max = {res}        26

                                                {txt}Wald chi2({res}4{txt})      =  {res}   267.36
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}-5.572741{col 26}{space 2} 1.349609{col 37}{space 1}   -4.13{col 46}{space 3}0.000{col 54}{space 4}-8.217926{col 67}{space 3}-2.927557
{txt}{space 9}pri {c |}{col 14}{res}{space 2}-.0307623{col 26}{space 2} .0135275{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.0572758{col 67}{space 3}-.0042489
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0843802{col 26}{space 2} .0144556{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4} .0560477{col 67}{space 3} .1127127
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}  5.13289{col 26}{space 2} .5022341{col 37}{space 1}   10.22{col 46}{space 3}0.000{col 54}{space 4}  4.14853{col 67}{space 3} 6.117251
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-38.89801{col 26}{space 2} 3.616396{col 37}{space 1}  -10.76{col 46}{space 3}0.000{col 54}{space 4}-45.98602{col 67}{space 3}   -31.81
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.5949851
     {txt}sigma_e {c |} {res} 3.7382457
         {txt}rho {c |} {res} .48047164{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store europe8

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp   if word_war ==1, re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,201
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.1476                                         {txt}min = {res}         1
{txt}     between = {res}0.4706                                         {txt}avg = {res}      11.8
{txt}     overall = {res}0.3396                                         {txt}max = {res}        13

                                                {txt}Wald chi2({res}4{txt})      =  {res}   277.97
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}-2.933913{col 26}{space 2} 4.282437{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4}-11.32734{col 67}{space 3} 5.459509
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0709015{col 26}{space 2} .0091205{col 37}{space 1}    7.77{col 46}{space 3}0.000{col 54}{space 4} .0530256{col 67}{space 3} .0887774
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0519308{col 26}{space 2} .0445279{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.0353423{col 67}{space 3}  .139204
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.142211{col 26}{space 2}  .268971{col 37}{space 1}    7.96{col 46}{space 3}0.000{col 54}{space 4} 1.615038{col 67}{space 3} 2.669385
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-22.69331{col 26}{space 2} 2.083177{col 37}{space 1}  -10.89{col 46}{space 3}0.000{col 54}{space 4}-26.77626{col 67}{space 3}-18.61036
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9680008
     {txt}sigma_e {c |} {res} 4.5263485
         {txt}rho {c |} {res} .43455111{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store europe9

. 
. 
. 
. 
. 
. coefplot (europe1) (europe2) (europe3), bylabel (Country FE) || (europe4) (europe5) (europe6), bylabel (Country & Year FE)  || (europe7) (europe8) (europe9), bylabel (Country RE)  ||, drop( _cons || 1.Europe || pri || 1.Europe) omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2)) keep(1.Europe#c.pri) 
{res}
{com}. 
. 
. @ Asia linear
{bf}{err}@{sf} is not a valid command name
{txt}{search r(199), local:r(199);}

{com}. xtreg polity i.Asia##c.pri ln_gdp   , fe i(country_1) 
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2854{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2869{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.3216{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}3{txt},{res}1821{txt}){col 67}={col 70}{res}   242.43
{txt}corr(u_i, Xb){col 16}= {res}-0.0021{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0395101{col 26}{space 2} .0060158{col 37}{space 1}    6.57{col 46}{space 3}0.000{col 54}{space 4} .0277115{col 67}{space 3} .0513087
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0322971{col 26}{space 2} .0129803{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4} -.057755{col 67}{space 3}-.0068392
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.967461{col 26}{space 2} .1856175{col 37}{space 1}   15.99{col 46}{space 3}0.000{col 54}{space 4} 2.603415{col 67}{space 3} 3.331506
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.98629{col 26}{space 2} 1.329812{col 37}{space 1}  -19.54{col 46}{space 3}0.000{col 54}{space 4}-28.59441{col 67}{space 3}-23.37818
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.2225229
     {txt}sigma_e {c |} {res} 4.5728527
         {txt}rho {c |} {res} .46023195{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1821{txt}) = {res}11.80{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia1

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp     if word_war ==0, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       725
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}        53

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2124{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.4671{col 63}{txt}avg{col 67}={col 69}{res}      13.7
{txt}     overall = {res}0.3496{col 63}{txt}max{col 67}={col 69}{res}        26

{txt}{col 49}F({res}3{txt},{res}669{txt}){col 67}={col 70}{res}    60.14
{txt}corr(u_i, Xb){col 16}= {res}0.0092{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0203342{col 26}{space 2}  .010587{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0004535{col 67}{space 3} .0411219
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .041526{col 26}{space 2} .0329726{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0232163{col 67}{space 3} .1062682
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 4.525777{col 26}{space 2}  .544934{col 37}{space 1}    8.31{col 46}{space 3}0.000{col 54}{space 4}  3.45579{col 67}{space 3} 5.595764
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-36.71135{col 26}{space 2} 3.954869{col 37}{space 1}   -9.28{col 46}{space 3}0.000{col 54}{space 4} -44.4768{col 67}{space 3} -28.9459
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.8360831
     {txt}sigma_e {c |} {res} 3.8683291
         {txt}rho {c |} {res} .49581468{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}52{txt}, {res}669{txt}) = {res}10.41{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia2

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp     if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1531{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3632{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.2780{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}3{txt},{res}1096{txt}){col 67}={col 70}{res}    66.02
{txt}corr(u_i, Xb){col 16}= {res}-0.1058{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0869694{col 26}{space 2} .0101532{col 37}{space 1}    8.57{col 46}{space 3}0.000{col 54}{space 4} .0670474{col 67}{space 3} .1068913
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0605216{col 26}{space 2}  .021411{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.1025328{col 67}{space 3}-.0185104
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.093707{col 26}{space 2} .2982185{col 37}{space 1}    7.02{col 46}{space 3}0.000{col 54}{space 4} 1.508564{col 67}{space 3} 2.678851
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-22.33485{col 26}{space 2} 2.367357{col 37}{space 1}   -9.43{col 46}{space 3}0.000{col 54}{space 4}-26.97991{col 67}{space 3}-17.68978
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.6293869
     {txt}sigma_e {c |} {res} 4.5124739
         {txt}rho {c |} {res} .51278667{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1096{txt}) = {res}10.20{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia3

. 
. 
. 
. 
. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp   i.year, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3690{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1046{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.2512{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}41{txt},{res}1783{txt}){col 67}={col 70}{res}    25.43
{txt}corr(u_i, Xb){col 16}= {res}-0.0091{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0061178{col 26}{space 2} .0071699{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0079445{col 67}{space 3} .0201801
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  -.03586{col 26}{space 2} .0126531{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.0606765{col 67}{space 3}-.0110435
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 1.559924{col 26}{space 2} .3398627{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .8933527{col 67}{space 3} 2.226495
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2}-.3128181{col 26}{space 2} 1.724318{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-3.694716{col 67}{space 3}  3.06908
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} .6302552{col 26}{space 2} 1.583081{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-2.474634{col 67}{space 3} 3.735145
{txt}{space 7}1835  {c |}{col 14}{res}{space 2}-.2574453{col 26}{space 2} 1.590552{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-3.376987{col 67}{space 3} 2.862097
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} .5824912{col 26}{space 2} 1.550438{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-2.458375{col 67}{space 3} 3.623358
{txt}{space 7}1845  {c |}{col 14}{res}{space 2} .4260097{col 26}{space 2}   1.5906{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-2.693626{col 67}{space 3} 3.545645
{txt}{space 7}1850  {c |}{col 14}{res}{space 2} 2.180433{col 26}{space 2} 1.381129{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.5283701{col 67}{space 3} 4.889236
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} 1.557615{col 26}{space 2} 1.505686{col 37}{space 1}    1.03{col 46}{space 3}0.301{col 54}{space 4}-1.395481{col 67}{space 3}  4.51071
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.806947{col 26}{space 2} 1.411296{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.9610217{col 67}{space 3} 4.574916
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 2.445478{col 26}{space 2} 1.463714{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.4252988{col 67}{space 3} 5.316254
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 3.262884{col 26}{space 2} 1.254283{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .8028646{col 67}{space 3} 5.722903
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 3.247987{col 26}{space 2} 1.369676{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4}  .561649{col 67}{space 3} 5.934325
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 3.977133{col 26}{space 2} 1.360572{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4}  1.30865{col 67}{space 3} 6.645616
{txt}{space 7}1885  {c |}{col 14}{res}{space 2}  3.89891{col 26}{space 2} 1.366423{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} 1.218951{col 67}{space 3}  6.57887
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 4.121362{col 26}{space 2} 1.310656{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} 1.550778{col 67}{space 3} 6.691945
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 4.159824{col 26}{space 2} 1.356891{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4}  1.49856{col 67}{space 3} 6.821088
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.925194{col 26}{space 2} 1.332589{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} 2.311592{col 67}{space 3} 7.538795
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 5.107312{col 26}{space 2} 1.339796{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} 2.479576{col 67}{space 3} 7.735047
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 5.535856{col 26}{space 2} 1.333646{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} 2.920182{col 67}{space 3}  8.15153
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 6.111245{col 26}{space 2} 1.358501{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} 3.446823{col 67}{space 3} 8.775667
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 6.723455{col 26}{space 2} 1.311705{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} 4.150815{col 67}{space 3} 9.296096
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 5.765885{col 26}{space 2} 1.316728{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} 3.183392{col 67}{space 3} 8.348378
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 5.676913{col 26}{space 2} 1.321756{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} 3.084558{col 67}{space 3} 8.269267
{txt}{space 7}1935  {c |}{col 14}{res}{space 2} 4.695547{col 26}{space 2} 1.322409{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} 2.101913{col 67}{space 3} 7.289181
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 3.835835{col 26}{space 2} 1.347539{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} 1.192914{col 67}{space 3} 6.478756
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 5.193797{col 26}{space 2} 1.343932{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} 2.557948{col 67}{space 3} 7.829645
{txt}{space 7}1950  {c |}{col 14}{res}{space 2} 5.962365{col 26}{space 2} 1.316243{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} 3.380824{col 67}{space 3} 8.543906
{txt}{space 7}1955  {c |}{col 14}{res}{space 2}  5.87403{col 26}{space 2} 1.333688{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} 3.258273{col 67}{space 3} 8.489787
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} 6.426024{col 26}{space 2} 1.340688{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} 3.796538{col 67}{space 3}  9.05551
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} 5.763413{col 26}{space 2} 1.370832{col 37}{space 1}    4.20{col 46}{space 3}0.000{col 54}{space 4} 3.074806{col 67}{space 3} 8.452019
{txt}{space 7}1970  {c |}{col 14}{res}{space 2} 4.869804{col 26}{space 2} 1.404035{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} 2.116076{col 67}{space 3} 7.623532
{txt}{space 7}1975  {c |}{col 14}{res}{space 2} 4.328985{col 26}{space 2} 1.435045{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} 1.514438{col 67}{space 3} 7.143531
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}  4.70791{col 26}{space 2} 1.468801{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} 1.827158{col 67}{space 3} 7.588662
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} 5.666108{col 26}{space 2} 1.475387{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} 2.772439{col 67}{space 3} 8.559777
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 7.849622{col 26}{space 2} 1.487083{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 4.933014{col 67}{space 3} 10.76623
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 9.325991{col 26}{space 2} 1.504213{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} 6.375784{col 67}{space 3}  12.2762
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 9.723416{col 26}{space 2} 1.552917{col 37}{space 1}    6.26{col 46}{space 3}0.000{col 54}{space 4} 6.677687{col 67}{space 3} 12.76914
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 9.915179{col 26}{space 2} 1.599257{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} 6.778565{col 67}{space 3} 13.05179
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 9.864037{col 26}{space 2} 1.636482{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} 6.654413{col 67}{space 3} 13.07366
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-17.72745{col 26}{space 2} 2.572921{col 37}{space 1}   -6.89{col 46}{space 3}0.000{col 54}{space 4}-22.77371{col 67}{space 3}-12.68119
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.7109492
     {txt}sigma_e {c |} {res} 4.3424873
         {txt}rho {c |} {res} .54063126{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1783{txt}) = {res}12.86{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia4

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp     i.year if word_war ==0, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       725
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}        53

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2851{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3724{col 63}{txt}avg{col 67}={col 69}{res}      13.7
{txt}     overall = {res}0.3028{col 63}{txt}max{col 67}={col 69}{res}        26

{txt}{col 49}F({res}28{txt},{res}644{txt}){col 67}={col 70}{res}     9.17
{txt}corr(u_i, Xb){col 16}= {res}0.1636{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}-.0066825{col 26}{space 2} .0122499{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4}-.0307372{col 67}{space 3} .0173721
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0431185{col 26}{space 2} .0325651{col 37}{space 1}    1.32{col 46}{space 3}0.186{col 54}{space 4}-.0208282{col 67}{space 3} .1070651
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.673436{col 26}{space 2} .7873923{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4}  1.12727{col 67}{space 3} 4.219603
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2}-.4198774{col 26}{space 2} 1.529068{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4}-3.422438{col 67}{space 3} 2.582683
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} .8332916{col 26}{space 2} 1.409459{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-1.934399{col 67}{space 3} 3.600982
{txt}{space 7}1835  {c |}{col 14}{res}{space 2}-.3439621{col 26}{space 2} 1.415421{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4} -3.12336{col 67}{space 3} 2.435436
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} .6124152{col 26}{space 2}  1.38395{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-2.105185{col 67}{space 3} 3.330016
{txt}{space 7}1845  {c |}{col 14}{res}{space 2} .3434869{col 26}{space 2} 1.417796{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-2.440575{col 67}{space 3} 3.127549
{txt}{space 7}1850  {c |}{col 14}{res}{space 2} 2.454736{col 26}{space 2} 1.243877{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0121919{col 67}{space 3} 4.897281
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} 1.354803{col 26}{space 2} 1.359755{col 37}{space 1}    1.00{col 46}{space 3}0.319{col 54}{space 4}-1.315285{col 67}{space 3} 4.024891
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.719975{col 26}{space 2}  1.28676{col 37}{space 1}    1.34{col 46}{space 3}0.182{col 54}{space 4}-.8067777{col 67}{space 3} 4.246728
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 2.377627{col 26}{space 2} 1.336104{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.2460193{col 67}{space 3} 5.001273
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 3.105211{col 26}{space 2} 1.140638{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .8653919{col 67}{space 3}  5.34503
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 3.279801{col 26}{space 2} 1.290168{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4}  .746358{col 67}{space 3} 5.813245
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 4.021801{col 26}{space 2} 1.288583{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4}  1.49147{col 67}{space 3} 6.552132
{txt}{space 7}1885  {c |}{col 14}{res}{space 2} 3.938307{col 26}{space 2} 1.314311{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} 1.357454{col 67}{space 3}  6.51916
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 4.189904{col 26}{space 2} 1.280361{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} 1.675717{col 67}{space 3} 6.704091
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 4.079308{col 26}{space 2} 1.338751{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} 1.450465{col 67}{space 3} 6.708152
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.740756{col 26}{space 2} 1.331763{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} 2.125633{col 67}{space 3} 7.355879
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 4.723535{col 26}{space 2} 1.366413{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} 2.040372{col 67}{space 3} 7.406698
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 5.050075{col 26}{space 2} 1.401419{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} 2.298172{col 67}{space 3} 7.801978
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 5.703483{col 26}{space 2} 1.412835{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} 2.929164{col 67}{space 3} 8.477801
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 6.305318{col 26}{space 2}  1.40485{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} 3.546679{col 67}{space 3} 9.063958
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 5.368949{col 26}{space 2} 1.456104{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4} 2.509663{col 67}{space 3} 8.228234
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 5.092202{col 26}{space 2} 1.494625{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} 2.157276{col 67}{space 3} 8.027128
{txt}{space 7}1935  {c |}{col 14}{res}{space 2} 4.080128{col 26}{space 2} 1.498297{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4}  1.13799{col 67}{space 3} 7.022266
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 3.278191{col 26}{space 2} 1.570413{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .1944424{col 67}{space 3} 6.361941
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 4.775232{col 26}{space 2} 1.541354{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4} 1.748544{col 67}{space 3} 7.801919
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-24.26299{col 26}{space 2} 5.843938{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-35.73846{col 67}{space 3}-12.78751
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.2814953
     {txt}sigma_e {c |} {res} 3.7564837
         {txt}rho {c |} {res} .56503889{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}52{txt}, {res}644{txt}) = {res}11.24{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia5

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp     i.year if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2821{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0351{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.1254{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}15{txt},{res}1084{txt}){col 67}={col 70}{res}    28.40
{txt}corr(u_i, Xb){col 16}= {res}-0.0265{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0170213{col 26}{space 2} .0120245{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0065727{col 67}{space 3} .0406152
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0385077{col 26}{space 2} .0200278{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.0778054{col 67}{space 3}   .00079
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.0318839{col 26}{space 2} .4128054{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4} -.841872{col 67}{space 3} .7781042
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1955  {c |}{col 14}{res}{space 2} .0275308{col 26}{space 2} .7237693{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-1.392617{col 67}{space 3} 1.447678
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} .9057993{col 26}{space 2} .7062332{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-.4799396{col 67}{space 3} 2.291538
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} .5119751{col 26}{space 2} .7129079{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.8868606{col 67}{space 3} 1.910811
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}-.2010356{col 26}{space 2} .7364572{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-1.646079{col 67}{space 3} 1.244007
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-.5998058{col 26}{space 2} .7639268{col 37}{space 1}   -0.79{col 46}{space 3}0.433{col 54}{space 4}-2.098749{col 67}{space 3} .8991369
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-.0673672{col 26}{space 2} .7993363{col 37}{space 1}   -0.08{col 46}{space 3}0.933{col 54}{space 4}-1.635789{col 67}{space 3} 1.501054
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} .8775381{col 26}{space 2} .8065775{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.7050918{col 67}{space 3} 2.460168
{txt}{space 7}1990  {c |}{col 14}{res}{space 2}  3.11779{col 26}{space 2} .8180814{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} 1.512588{col 67}{space 3} 4.722993
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 4.629174{col 26}{space 2} .8377293{col 37}{space 1}    5.53{col 46}{space 3}0.000{col 54}{space 4}  2.98542{col 67}{space 3} 6.272929
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 5.181581{col 26}{space 2}  .900971{col 37}{space 1}    5.75{col 46}{space 3}0.000{col 54}{space 4} 3.413736{col 67}{space 3} 6.949425
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 5.611593{col 26}{space 2} .9617918{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} 3.724409{col 67}{space 3} 7.498778
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 5.767707{col 26}{space 2} 1.010721{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} 3.784517{col 67}{space 3} 7.750898
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.8608748{col 26}{space 2} 3.510502{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-7.749024{col 67}{space 3} 6.027274
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 5.6609399
     {txt}sigma_e {c |} {res}  4.177414
         {txt}rho {c |} {res} .64743767{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1084{txt}) = {res}12.26{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia6

. 
. 
. 
. 
. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp   , re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,926
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2854                                         {txt}min = {res}         1
{txt}     between = {res}0.3250                                         {txt}avg = {res}      18.9
{txt}     overall = {res}0.3335                                         {txt}max = {res}        39

                                                {txt}Wald chi2({res}4{txt})      =  {res}   774.49
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2} 2.708454{col 26}{space 2} 1.440367{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.1146139{col 67}{space 3} 5.531523
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0392769{col 26}{space 2}    .0059{col 37}{space 1}    6.66{col 46}{space 3}0.000{col 54}{space 4} .0277132{col 67}{space 3} .0508406
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0291704{col 26}{space 2} .0125963{col 37}{space 1}   -2.32{col 46}{space 3}0.021{col 54}{space 4}-.0538587{col 67}{space 3} -.004482
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.965069{col 26}{space 2} .1794135{col 37}{space 1}   16.53{col 46}{space 3}0.000{col 54}{space 4} 2.613425{col 67}{space 3} 3.316714
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-26.74645{col 26}{space 2} 1.349714{col 37}{space 1}  -19.82{col 46}{space 3}0.000{col 54}{space 4}-29.39184{col 67}{space 3}-24.10106
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9394585
     {txt}sigma_e {c |} {res} 4.5728527
         {txt}rho {c |} {res} .42600052{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store Asia7

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp     if word_war ==0, re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}       725
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}        53

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2122                                         {txt}min = {res}         1
{txt}     between = {res}0.4731                                         {txt}avg = {res}      13.7
{txt}     overall = {res}0.3518                                         {txt}max = {res}        26

                                                {txt}Wald chi2({res}4{txt})      =  {res}   224.99
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2} .5466817{col 26}{space 2} 2.016945{col 37}{space 1}    0.27{col 46}{space 3}0.786{col 54}{space 4}-3.406458{col 67}{space 3} 4.499821
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0208299{col 26}{space 2}  .009891{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0014439{col 67}{space 3}  .040216
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0287456{col 26}{space 2} .0269061{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.0239893{col 67}{space 3} .0814806
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}  4.61103{col 26}{space 2} .5065587{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} 3.618194{col 67}{space 3} 5.603867
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-37.41818{col 26}{space 2}  3.70289{col 37}{space 1}  -10.11{col 46}{space 3}0.000{col 54}{space 4}-44.67571{col 67}{space 3}-30.16065
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.6315005
     {txt}sigma_e {c |} {res} 3.8683291
         {txt}rho {c |} {res} .46845359{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store Asia8

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp   if word_war ==1, re
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,201
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.1526                                         {txt}min = {res}         1
{txt}     between = {res}0.4588                                         {txt}avg = {res}      11.8
{txt}     overall = {res}0.3380                                         {txt}max = {res}        13

                                                {txt}Wald chi2({res}4{txt})      =  {res}   281.04
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2} 4.728023{col 26}{space 2}  1.93226{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .9408624{col 67}{space 3} 8.515183
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0834679{col 26}{space 2} .0098263{col 37}{space 1}    8.49{col 46}{space 3}0.000{col 54}{space 4} .0642088{col 67}{space 3} .1027271
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0575952{col 26}{space 2} .0199007{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-.0965998{col 67}{space 3}-.0185906
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.358135{col 26}{space 2} .2605325{col 37}{space 1}    9.05{col 46}{space 3}0.000{col 54}{space 4} 1.847501{col 67}{space 3}  2.86877
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.13119{col 26}{space 2} 2.117004{col 37}{space 1}  -11.87{col 46}{space 3}0.000{col 54}{space 4}-29.28044{col 67}{space 3}-20.98193
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.0066123
     {txt}sigma_e {c |} {res} 4.5124739
         {txt}rho {c |} {res} .44082885{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store Asia9

. 
. 
. 
. 
. 
. coefplot (Asia1) (Asia2) (Asia3), bylabel (Country FE) || (Asia4) (Asia5) (Asia6), bylabel (Country & Year FE)  || (Asia7) (Asia8) (Asia9), bylabel (Country RE)  ||, drop( _cons || 1.Asia || pri || 1.Asia) omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep(1.Asia#c.pri)
{res}
{com}. # DID Europe
{err}Unknown #command

{com}. xtreg polity i.Europe##i.edu_did_70 ln_gdp , fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,906
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2888{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.3135{col 63}{txt}avg{col 67}={col 69}{res}      97.1
{txt}     overall = {res}0.3268{col 63}{txt}max{col 67}={col 69}{res}       199

{txt}{col 49}F({res}3{txt},{res}9801{txt}){col 67}={col 70}{res}  1326.45
{txt}corr(u_i, Xb){col 16}= {res}0.0140{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Europe {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2}  1.76162{col 31}{space 2} .1503609{col 42}{space 1}   11.72{col 51}{space 3}0.000{col 59}{space 4} 1.466881{col 72}{space 3} 2.056358
{txt}{space 17} {c |}
Europe#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .6199586{col 31}{space 2} .2681389{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .0943512{col 72}{space 3} 1.145566
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} 3.130128{col 31}{space 2} .0708553{col 42}{space 1}   44.18{col 51}{space 3}0.000{col 59}{space 4} 2.991237{col 72}{space 3} 3.269019
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-26.01206{col 31}{space 2} .5552526{col 42}{space 1}  -46.85{col 51}{space 3}0.000{col 59}{space 4}-27.10047{col 72}{space 3}-24.92365
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} 4.0003711
          {txt}sigma_e {c |} {res} 4.5124764
              {txt}rho {c |} {res} .44006016{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}9801{txt}) = {res}61.46{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe1

. 
. 
. 
. xtreg polity i.Europe##i.edu_did_70 ln_gdp  i.year , fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,906
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3867{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.1155{col 63}{txt}avg{col 67}={col 69}{res}      97.1
{txt}     overall = {res}0.2546{col 63}{txt}max{col 67}={col 69}{res}       199

{txt}{col 49}F({res}201{txt},{res}9603{txt}){col 67}={col 70}{res}    30.12
{txt}corr(u_i, Xb){col 16}= {res}-0.0051{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Europe {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2} .2442302{col 31}{space 2} .1607416{col 42}{space 1}    1.52{col 51}{space 3}0.129{col 59}{space 4}-.0708572{col 72}{space 3} .5593177
{txt}{space 17} {c |}
Europe#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} 1.090066{col 31}{space 2} .2736866{col 42}{space 1}    3.98{col 51}{space 3}0.000{col 59}{space 4} .5535825{col 72}{space 3} 1.626549
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} 1.241093{col 31}{space 2} .1380063{col 42}{space 1}    8.99{col 51}{space 3}0.000{col 59}{space 4} .9705716{col 72}{space 3} 1.511615
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}1821  {c |}{col 19}{res}{space 2}-1.370038{col 31}{space 2} 1.716629{col 42}{space 1}   -0.80{col 51}{space 3}0.425{col 59}{space 4}-4.734992{col 72}{space 3} 1.994916
{txt}{space 12}1822  {c |}{col 19}{res}{space 2} -1.59015{col 31}{space 2} 1.716633{col 42}{space 1}   -0.93{col 51}{space 3}0.354{col 59}{space 4}-4.955112{col 72}{space 3} 1.774812
{txt}{space 12}1823  {c |}{col 19}{res}{space 2}-1.594581{col 31}{space 2} 1.716624{col 42}{space 1}   -0.93{col 51}{space 3}0.353{col 59}{space 4}-4.959527{col 72}{space 3} 1.770364
{txt}{space 12}1824  {c |}{col 19}{res}{space 2}-1.376852{col 31}{space 2} 1.716616{col 42}{space 1}   -0.80{col 51}{space 3}0.423{col 59}{space 4}-4.741781{col 72}{space 3} 1.988076
{txt}{space 12}1825  {c |}{col 19}{res}{space 2} -1.04479{col 31}{space 2} 1.657169{col 42}{space 1}   -0.63{col 51}{space 3}0.528{col 59}{space 4}-4.293192{col 72}{space 3} 2.203611
{txt}{space 12}1826  {c |}{col 19}{res}{space 2}-.8315968{col 31}{space 2} 1.716596{col 42}{space 1}   -0.48{col 51}{space 3}0.628{col 59}{space 4}-4.196488{col 72}{space 3} 2.533295
{txt}{space 12}1827  {c |}{col 19}{res}{space 2}-.6234791{col 31}{space 2} 1.716572{col 42}{space 1}   -0.36{col 51}{space 3}0.716{col 59}{space 4}-3.988322{col 72}{space 3} 2.741363
{txt}{space 12}1828  {c |}{col 19}{res}{space 2}-.4060838{col 31}{space 2} 1.716563{col 42}{space 1}   -0.24{col 51}{space 3}0.813{col 59}{space 4} -3.77091{col 72}{space 3} 2.958743
{txt}{space 12}1829  {c |}{col 19}{res}{space 2}-.0837699{col 31}{space 2} 1.716545{col 42}{space 1}   -0.05{col 51}{space 3}0.961{col 59}{space 4}-3.448561{col 72}{space 3} 3.281021
{txt}{space 12}1830  {c |}{col 19}{res}{space 2} .1989144{col 31}{space 2} 1.526475{col 42}{space 1}    0.13{col 51}{space 3}0.896{col 59}{space 4}-2.793298{col 72}{space 3} 3.191127
{txt}{space 12}1831  {c |}{col 19}{res}{space 2}-.0021316{col 31}{space 2} 1.607292{col 42}{space 1}   -0.00{col 51}{space 3}0.999{col 59}{space 4}-3.152763{col 72}{space 3}   3.1485
{txt}{space 12}1832  {c |}{col 19}{res}{space 2}-.0340695{col 31}{space 2} 1.607247{col 42}{space 1}   -0.02{col 51}{space 3}0.983{col 59}{space 4}-3.184612{col 72}{space 3} 3.116473
{txt}{space 12}1833  {c |}{col 19}{res}{space 2}-.2651611{col 31}{space 2} 1.564476{col 42}{space 1}   -0.17{col 51}{space 3}0.865{col 59}{space 4}-3.331865{col 72}{space 3} 2.801543
{txt}{space 12}1834  {c |}{col 19}{res}{space 2}-.2020106{col 31}{space 2} 1.564456{col 42}{space 1}   -0.13{col 51}{space 3}0.897{col 59}{space 4}-3.268675{col 72}{space 3} 2.864653
{txt}{space 12}1835  {c |}{col 19}{res}{space 2}-1.014864{col 31}{space 2} 1.526682{col 42}{space 1}   -0.66{col 51}{space 3}0.506{col 59}{space 4}-4.007484{col 72}{space 3} 1.977756
{txt}{space 12}1836  {c |}{col 19}{res}{space 2}-.5997083{col 31}{space 2}  1.56411{col 42}{space 1}   -0.38{col 51}{space 3}0.701{col 59}{space 4}-3.665694{col 72}{space 3} 2.466278
{txt}{space 12}1837  {c |}{col 19}{res}{space 2}-.1974778{col 31}{space 2} 1.564102{col 42}{space 1}   -0.13{col 51}{space 3}0.900{col 59}{space 4}-3.263447{col 72}{space 3} 2.868492
{txt}{space 12}1838  {c |}{col 19}{res}{space 2}-.2009167{col 31}{space 2}   1.5641{col 42}{space 1}   -0.13{col 51}{space 3}0.898{col 59}{space 4}-3.266883{col 72}{space 3} 2.865049
{txt}{space 12}1839  {c |}{col 19}{res}{space 2}-.0172829{col 31}{space 2}  1.56411{col 42}{space 1}   -0.01{col 51}{space 3}0.991{col 59}{space 4}-3.083268{col 72}{space 3} 3.048702
{txt}{space 12}1840  {c |}{col 19}{res}{space 2} .0817212{col 31}{space 2}  1.49364{col 42}{space 1}    0.05{col 51}{space 3}0.956{col 59}{space 4}-2.846129{col 72}{space 3} 3.009572
{txt}{space 12}1841  {c |}{col 19}{res}{space 2}-.1216252{col 31}{space 2} 1.564098{col 42}{space 1}   -0.08{col 51}{space 3}0.938{col 59}{space 4}-3.187587{col 72}{space 3} 2.944337
{txt}{space 12}1842  {c |}{col 19}{res}{space 2}-.4554383{col 31}{space 2} 1.564098{col 42}{space 1}   -0.29{col 51}{space 3}0.771{col 59}{space 4}  -3.5214{col 72}{space 3} 2.610523
{txt}{space 12}1843  {c |}{col 19}{res}{space 2}-.4416111{col 31}{space 2} 1.564105{col 42}{space 1}   -0.28{col 51}{space 3}0.778{col 59}{space 4}-3.507587{col 72}{space 3} 2.624365
{txt}{space 12}1844  {c |}{col 19}{res}{space 2}-.5543598{col 31}{space 2} 1.564091{col 42}{space 1}   -0.35{col 51}{space 3}0.723{col 59}{space 4}-3.620309{col 72}{space 3}  2.51159
{txt}{space 12}1845  {c |}{col 19}{res}{space 2}-.3141719{col 31}{space 2} 1.526852{col 42}{space 1}   -0.21{col 51}{space 3}0.837{col 59}{space 4}-3.307125{col 72}{space 3} 2.678781
{txt}{space 12}1846  {c |}{col 19}{res}{space 2}-1.037042{col 31}{space 2} 1.465226{col 42}{space 1}   -0.71{col 51}{space 3}0.479{col 59}{space 4}-3.909194{col 72}{space 3}  1.83511
{txt}{space 12}1847  {c |}{col 19}{res}{space 2}-.1663127{col 31}{space 2} 1.527265{col 42}{space 1}   -0.11{col 51}{space 3}0.913{col 59}{space 4}-3.160074{col 72}{space 3} 2.827449
{txt}{space 12}1848  {c |}{col 19}{res}{space 2} .5860444{col 31}{space 2} 1.527266{col 42}{space 1}    0.38{col 51}{space 3}0.701{col 59}{space 4}-2.407718{col 72}{space 3} 3.579807
{txt}{space 12}1849  {c |}{col 19}{res}{space 2} 1.490429{col 31}{space 2} 1.527269{col 42}{space 1}    0.98{col 51}{space 3}0.329{col 59}{space 4} -1.50334{col 72}{space 3} 4.484199
{txt}{space 12}1850  {c |}{col 19}{res}{space 2} 1.680493{col 31}{space 2} 1.328382{col 42}{space 1}    1.27{col 51}{space 3}0.206{col 59}{space 4} -.923417{col 72}{space 3} 4.284402
{txt}{space 12}1851  {c |}{col 19}{res}{space 2} 1.586999{col 31}{space 2} 1.465681{col 42}{space 1}    1.08{col 51}{space 3}0.279{col 59}{space 4}-1.286044{col 72}{space 3} 4.460042
{txt}{space 12}1852  {c |}{col 19}{res}{space 2} .9212785{col 31}{space 2}  1.46568{col 42}{space 1}    0.63{col 51}{space 3}0.530{col 59}{space 4}-1.951764{col 72}{space 3} 3.794321
{txt}{space 12}1853  {c |}{col 19}{res}{space 2}  .900013{col 31}{space 2} 1.465696{col 42}{space 1}    0.61{col 51}{space 3}0.539{col 59}{space 4} -1.97306{col 72}{space 3} 3.773086
{txt}{space 12}1854  {c |}{col 19}{res}{space 2}  .807671{col 31}{space 2}  1.46572{col 42}{space 1}    0.55{col 51}{space 3}0.582{col 59}{space 4}-2.065449{col 72}{space 3} 3.680791
{txt}{space 12}1855  {c |}{col 19}{res}{space 2} .8250759{col 31}{space 2}   1.4398{col 42}{space 1}    0.57{col 51}{space 3}0.567{col 59}{space 4}-1.997236{col 72}{space 3} 3.647388
{txt}{space 12}1856  {c |}{col 19}{res}{space 2} .8505675{col 31}{space 2} 1.465687{col 42}{space 1}    0.58{col 51}{space 3}0.562{col 59}{space 4}-2.022489{col 72}{space 3} 3.723624
{txt}{space 12}1857  {c |}{col 19}{res}{space 2} .7875261{col 31}{space 2}  1.46577{col 42}{space 1}    0.54{col 51}{space 3}0.591{col 59}{space 4}-2.085693{col 72}{space 3} 3.660745
{txt}{space 12}1858  {c |}{col 19}{res}{space 2} .7811528{col 31}{space 2} 1.465781{col 42}{space 1}    0.53{col 51}{space 3}0.594{col 59}{space 4}-2.092086{col 72}{space 3} 3.654392
{txt}{space 12}1859  {c |}{col 19}{res}{space 2} .7097826{col 31}{space 2} 1.465788{col 42}{space 1}    0.48{col 51}{space 3}0.628{col 59}{space 4}-2.163472{col 72}{space 3} 3.583037
{txt}{space 12}1860  {c |}{col 19}{res}{space 2} 1.072041{col 31}{space 2} 1.343983{col 42}{space 1}    0.80{col 51}{space 3}0.425{col 59}{space 4}-1.562449{col 72}{space 3} 3.706531
{txt}{space 12}1861  {c |}{col 19}{res}{space 2}   .24605{col 31}{space 2} 1.416882{col 42}{space 1}    0.17{col 51}{space 3}0.862{col 59}{space 4}-2.531337{col 72}{space 3} 3.023437
{txt}{space 12}1862  {c |}{col 19}{res}{space 2} 1.215093{col 31}{space 2} 1.417094{col 42}{space 1}    0.86{col 51}{space 3}0.391{col 59}{space 4}-1.562711{col 72}{space 3} 3.992896
{txt}{space 12}1863  {c |}{col 19}{res}{space 2} 1.365025{col 31}{space 2} 1.417144{col 42}{space 1}    0.96{col 51}{space 3}0.335{col 59}{space 4}-1.412877{col 72}{space 3} 4.142927
{txt}{space 12}1864  {c |}{col 19}{res}{space 2} 1.482038{col 31}{space 2} 1.417146{col 42}{space 1}    1.05{col 51}{space 3}0.296{col 59}{space 4}-1.295867{col 72}{space 3} 4.259942
{txt}{space 12}1865  {c |}{col 19}{res}{space 2}  1.71171{col 31}{space 2} 1.396099{col 42}{space 1}    1.23{col 51}{space 3}0.220{col 59}{space 4}-1.024939{col 72}{space 3} 4.448358
{txt}{space 12}1866  {c |}{col 19}{res}{space 2} 1.262269{col 31}{space 2} 1.396109{col 42}{space 1}    0.90{col 51}{space 3}0.366{col 59}{space 4}-1.474399{col 72}{space 3} 3.998937
{txt}{space 12}1867  {c |}{col 19}{res}{space 2} 1.255374{col 31}{space 2} 1.396123{col 42}{space 1}    0.90{col 51}{space 3}0.369{col 59}{space 4}-1.481322{col 72}{space 3}  3.99207
{txt}{space 12}1868  {c |}{col 19}{res}{space 2} 1.153285{col 31}{space 2} 1.377279{col 42}{space 1}    0.84{col 51}{space 3}0.402{col 59}{space 4}-1.546473{col 72}{space 3} 3.853043
{txt}{space 12}1869  {c |}{col 19}{res}{space 2} 1.434718{col 31}{space 2} 1.377362{col 42}{space 1}    1.04{col 51}{space 3}0.298{col 59}{space 4}-1.265201{col 72}{space 3} 4.134638
{txt}{space 12}1870  {c |}{col 19}{res}{space 2} 2.887064{col 31}{space 2} 1.202917{col 42}{space 1}    2.40{col 51}{space 3}0.016{col 59}{space 4} .5290922{col 72}{space 3} 5.245036
{txt}{space 12}1871  {c |}{col 19}{res}{space 2} 2.211223{col 31}{space 2} 1.304139{col 42}{space 1}    1.70{col 51}{space 3}0.090{col 59}{space 4}-.3451653{col 72}{space 3} 4.767611
{txt}{space 12}1872  {c |}{col 19}{res}{space 2} 2.298258{col 31}{space 2}  1.30427{col 42}{space 1}    1.76{col 51}{space 3}0.078{col 59}{space 4}-.2583878{col 72}{space 3} 4.854903
{txt}{space 12}1873  {c |}{col 19}{res}{space 2} 2.179701{col 31}{space 2} 1.304404{col 42}{space 1}    1.67{col 51}{space 3}0.095{col 59}{space 4}-.3772067{col 72}{space 3} 4.736609
{txt}{space 12}1874  {c |}{col 19}{res}{space 2} 2.420781{col 31}{space 2} 1.292497{col 42}{space 1}    1.87{col 51}{space 3}0.061{col 59}{space 4}-.1127862{col 72}{space 3} 4.954347
{txt}{space 12}1875  {c |}{col 19}{res}{space 2} 2.574417{col 31}{space 2} 1.292836{col 42}{space 1}    1.99{col 51}{space 3}0.046{col 59}{space 4} .0401862{col 72}{space 3} 5.108648
{txt}{space 12}1876  {c |}{col 19}{res}{space 2} 2.411728{col 31}{space 2} 1.292846{col 42}{space 1}    1.87{col 51}{space 3}0.062{col 59}{space 4}-.1225242{col 72}{space 3} 4.945979
{txt}{space 12}1877  {c |}{col 19}{res}{space 2} 2.686777{col 31}{space 2} 1.292866{col 42}{space 1}    2.08{col 51}{space 3}0.038{col 59}{space 4} .1524863{col 72}{space 3} 5.221067
{txt}{space 12}1878  {c |}{col 19}{res}{space 2} 2.682585{col 31}{space 2} 1.292883{col 42}{space 1}    2.07{col 51}{space 3}0.038{col 59}{space 4} .1482616{col 72}{space 3} 5.216908
{txt}{space 12}1879  {c |}{col 19}{res}{space 2} 2.816682{col 31}{space 2} 1.292827{col 42}{space 1}    2.18{col 51}{space 3}0.029{col 59}{space 4} .2824679{col 72}{space 3} 5.350895
{txt}{space 12}1880  {c |}{col 19}{res}{space 2} 3.261175{col 31}{space 2} 1.282369{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .7474607{col 72}{space 3}  5.77489
{txt}{space 12}1881  {c |}{col 19}{res}{space 2} 3.283017{col 31}{space 2} 1.304693{col 42}{space 1}    2.52{col 51}{space 3}0.012{col 59}{space 4} .7255434{col 72}{space 3}  5.84049
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{txt}{space 12}1886  {c |}{col 19}{res}{space 2} 2.939611{col 31}{space 2} 1.282738{col 42}{space 1}    2.29{col 51}{space 3}0.022{col 59}{space 4} .4251738{col 72}{space 3} 5.454048
{txt}{space 12}1887  {c |}{col 19}{res}{space 2} 3.135874{col 31}{space 2} 1.272577{col 42}{space 1}    2.46{col 51}{space 3}0.014{col 59}{space 4} .6413555{col 72}{space 3} 5.630393
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{txt}{space 12}1889  {c |}{col 19}{res}{space 2} 3.335483{col 31}{space 2} 1.282881{col 42}{space 1}    2.60{col 51}{space 3}0.009{col 59}{space 4} .8207657{col 72}{space 3} 5.850201
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{txt}{space 12}1891  {c |}{col 19}{res}{space 2} 3.564516{col 31}{space 2} 1.273299{col 42}{space 1}    2.80{col 51}{space 3}0.005{col 59}{space 4} 1.068582{col 72}{space 3}  6.06045
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{txt}{space 12}1906  {c |}{col 19}{res}{space 2} 4.537473{col 31}{space 2} 1.234293{col 42}{space 1}    3.68{col 51}{space 3}0.000{col 59}{space 4} 2.117999{col 72}{space 3} 6.956948
{txt}{space 12}1907  {c |}{col 19}{res}{space 2} 4.302157{col 31}{space 2} 1.234435{col 42}{space 1}    3.49{col 51}{space 3}0.000{col 59}{space 4} 1.882404{col 72}{space 3} 6.721911
{txt}{space 12}1908  {c |}{col 19}{res}{space 2} 4.773527{col 31}{space 2} 1.234413{col 42}{space 1}    3.87{col 51}{space 3}0.000{col 59}{space 4} 2.353818{col 72}{space 3} 7.193237
{txt}{space 12}1909  {c |}{col 19}{res}{space 2} 4.744514{col 31}{space 2} 1.234668{col 42}{space 1}    3.84{col 51}{space 3}0.000{col 59}{space 4} 2.324305{col 72}{space 3} 7.164724
{txt}{space 12}1910  {c |}{col 19}{res}{space 2} 4.805196{col 31}{space 2} 1.216106{col 42}{space 1}    3.95{col 51}{space 3}0.000{col 59}{space 4} 2.421371{col 72}{space 3}  7.18902
{txt}{space 12}1911  {c |}{col 19}{res}{space 2}  5.35018{col 31}{space 2} 1.222458{col 42}{space 1}    4.38{col 51}{space 3}0.000{col 59}{space 4} 2.953905{col 72}{space 3} 7.746455
{txt}{space 12}1912  {c |}{col 19}{res}{space 2} 5.389262{col 31}{space 2} 1.236241{col 42}{space 1}    4.36{col 51}{space 3}0.000{col 59}{space 4}  2.96597{col 72}{space 3} 7.812555
{txt}{space 12}1913  {c |}{col 19}{res}{space 2} 5.647096{col 31}{space 2} 1.198606{col 42}{space 1}    4.71{col 51}{space 3}0.000{col 59}{space 4} 3.297575{col 72}{space 3} 7.996616
{txt}{space 12}1914  {c |}{col 19}{res}{space 2} 5.599242{col 31}{space 2} 1.242976{col 42}{space 1}    4.50{col 51}{space 3}0.000{col 59}{space 4} 3.162747{col 72}{space 3} 8.035736
{txt}{space 12}1915  {c |}{col 19}{res}{space 2} 5.400218{col 31}{space 2} 1.242801{col 42}{space 1}    4.35{col 51}{space 3}0.000{col 59}{space 4} 2.964066{col 72}{space 3} 7.836371
{txt}{space 12}1916  {c |}{col 19}{res}{space 2}   5.4998{col 31}{space 2} 1.251359{col 42}{space 1}    4.40{col 51}{space 3}0.000{col 59}{space 4} 3.046872{col 72}{space 3} 7.952728
{txt}{space 12}1917  {c |}{col 19}{res}{space 2} 5.950852{col 31}{space 2} 1.243317{col 42}{space 1}    4.79{col 51}{space 3}0.000{col 59}{space 4} 3.513687{col 72}{space 3} 8.388016
{txt}{space 12}1918  {c |}{col 19}{res}{space 2} 6.176463{col 31}{space 2} 1.235755{col 42}{space 1}    5.00{col 51}{space 3}0.000{col 59}{space 4} 3.754123{col 72}{space 3} 8.598803
{txt}{space 12}1919  {c |}{col 19}{res}{space 2}  6.27665{col 31}{space 2} 1.243287{col 42}{space 1}    5.05{col 51}{space 3}0.000{col 59}{space 4} 3.839544{col 72}{space 3} 8.713755
{txt}{space 12}1920  {c |}{col 19}{res}{space 2} 6.024487{col 31}{space 2} 1.185519{col 42}{space 1}    5.08{col 51}{space 3}0.000{col 59}{space 4} 3.700619{col 72}{space 3} 8.348355
{txt}{space 12}1921  {c |}{col 19}{res}{space 2} 6.027761{col 31}{space 2} 1.190208{col 42}{space 1}    5.06{col 51}{space 3}0.000{col 59}{space 4} 3.694703{col 72}{space 3} 8.360819
{txt}{space 12}1922  {c |}{col 19}{res}{space 2} 5.950323{col 31}{space 2}  1.19569{col 42}{space 1}    4.98{col 51}{space 3}0.000{col 59}{space 4} 3.606519{col 72}{space 3} 8.294128
{txt}{space 12}1923  {c |}{col 19}{res}{space 2} 5.345917{col 31}{space 2} 1.190857{col 42}{space 1}    4.49{col 51}{space 3}0.000{col 59}{space 4} 3.011585{col 72}{space 3} 7.680249
{txt}{space 12}1924  {c |}{col 19}{res}{space 2} 5.144772{col 31}{space 2} 1.181956{col 42}{space 1}    4.35{col 51}{space 3}0.000{col 59}{space 4} 2.827889{col 72}{space 3} 7.461656
{txt}{space 12}1925  {c |}{col 19}{res}{space 2} 5.069052{col 31}{space 2} 1.178948{col 42}{space 1}    4.30{col 51}{space 3}0.000{col 59}{space 4} 2.758065{col 72}{space 3} 7.380039
{txt}{space 12}1926  {c |}{col 19}{res}{space 2} 5.318583{col 31}{space 2} 1.183251{col 42}{space 1}    4.49{col 51}{space 3}0.000{col 59}{space 4} 2.999161{col 72}{space 3} 7.638006
{txt}{space 12}1927  {c |}{col 19}{res}{space 2}  5.24808{col 31}{space 2} 1.183533{col 42}{space 1}    4.43{col 51}{space 3}0.000{col 59}{space 4} 2.928105{col 72}{space 3} 7.568055
{txt}{space 12}1928  {c |}{col 19}{res}{space 2} 5.038803{col 31}{space 2} 1.180213{col 42}{space 1}    4.27{col 51}{space 3}0.000{col 59}{space 4} 2.725336{col 72}{space 3} 7.352269
{txt}{space 12}1929  {c |}{col 19}{res}{space 2}  4.83782{col 31}{space 2}  1.16486{col 42}{space 1}    4.15{col 51}{space 3}0.000{col 59}{space 4} 2.554449{col 72}{space 3} 7.121191
{txt}{space 12}1930  {c |}{col 19}{res}{space 2} 5.024628{col 31}{space 2} 1.173109{col 42}{space 1}    4.28{col 51}{space 3}0.000{col 59}{space 4} 2.725087{col 72}{space 3} 7.324168
{txt}{space 12}1931  {c |}{col 19}{res}{space 2} 4.897176{col 31}{space 2} 1.172173{col 42}{space 1}    4.18{col 51}{space 3}0.000{col 59}{space 4} 2.599468{col 72}{space 3} 7.194883
{txt}{space 12}1932  {c |}{col 19}{res}{space 2} 5.007604{col 31}{space 2}  1.17137{col 42}{space 1}    4.27{col 51}{space 3}0.000{col 59}{space 4} 2.711471{col 72}{space 3} 7.303737
{txt}{space 12}1933  {c |}{col 19}{res}{space 2} 4.479147{col 31}{space 2} 1.171846{col 42}{space 1}    3.82{col 51}{space 3}0.000{col 59}{space 4} 2.182081{col 72}{space 3} 6.776213
{txt}{space 12}1934  {c |}{col 19}{res}{space 2} 4.022814{col 31}{space 2}  1.17227{col 42}{space 1}    3.43{col 51}{space 3}0.001{col 59}{space 4} 1.724917{col 72}{space 3} 6.320711
{txt}{space 12}1935  {c |}{col 19}{res}{space 2} 4.065307{col 31}{space 2} 1.169706{col 42}{space 1}    3.48{col 51}{space 3}0.001{col 59}{space 4} 1.772436{col 72}{space 3} 6.358178
{txt}{space 12}1936  {c |}{col 19}{res}{space 2} 3.288891{col 31}{space 2} 1.170212{col 42}{space 1}    2.81{col 51}{space 3}0.005{col 59}{space 4} .9950286{col 72}{space 3} 5.582754
{txt}{space 12}1937  {c |}{col 19}{res}{space 2} 3.420226{col 31}{space 2} 1.174876{col 42}{space 1}    2.91{col 51}{space 3}0.004{col 59}{space 4} 1.117221{col 72}{space 3} 5.723232
{txt}{space 12}1938  {c |}{col 19}{res}{space 2} 3.593961{col 31}{space 2} 1.170986{col 42}{space 1}    3.07{col 51}{space 3}0.002{col 59}{space 4} 1.298581{col 72}{space 3}  5.88934
{txt}{space 12}1939  {c |}{col 19}{res}{space 2} 3.401986{col 31}{space 2} 1.175882{col 42}{space 1}    2.89{col 51}{space 3}0.004{col 59}{space 4} 1.097008{col 72}{space 3} 5.706963
{txt}{space 12}1940  {c |}{col 19}{res}{space 2}  3.15205{col 31}{space 2} 1.175632{col 42}{space 1}    2.68{col 51}{space 3}0.007{col 59}{space 4} .8475633{col 72}{space 3} 5.456536
{txt}{space 12}1941  {c |}{col 19}{res}{space 2} 2.689884{col 31}{space 2} 1.197055{col 42}{space 1}    2.25{col 51}{space 3}0.025{col 59}{space 4} .3434024{col 72}{space 3} 5.036365
{txt}{space 12}1942  {c |}{col 19}{res}{space 2} 2.704947{col 31}{space 2} 1.196835{col 42}{space 1}    2.26{col 51}{space 3}0.024{col 59}{space 4} .3588978{col 72}{space 3} 5.050995
{txt}{space 12}1943  {c |}{col 19}{res}{space 2} 2.777147{col 31}{space 2} 1.201453{col 42}{space 1}    2.31{col 51}{space 3}0.021{col 59}{space 4} .4220456{col 72}{space 3} 5.132248
{txt}{space 12}1944  {c |}{col 19}{res}{space 2} 3.536303{col 31}{space 2} 1.196294{col 42}{space 1}    2.96{col 51}{space 3}0.003{col 59}{space 4} 1.191315{col 72}{space 3} 5.881291
{txt}{space 12}1945  {c |}{col 19}{res}{space 2}  4.49437{col 31}{space 2}  1.17802{col 42}{space 1}    3.82{col 51}{space 3}0.000{col 59}{space 4} 2.185201{col 72}{space 3} 6.803538
{txt}{space 12}1946  {c |}{col 19}{res}{space 2} 5.503812{col 31}{space 2} 1.183664{col 42}{space 1}    4.65{col 51}{space 3}0.000{col 59}{space 4}  3.18358{col 72}{space 3} 7.824043
{txt}{space 12}1947  {c |}{col 19}{res}{space 2} 5.444613{col 31}{space 2} 1.184565{col 42}{space 1}    4.60{col 51}{space 3}0.000{col 59}{space 4} 3.122615{col 72}{space 3}  7.76661
{txt}{space 12}1948  {c |}{col 19}{res}{space 2} 4.933273{col 31}{space 2} 1.169975{col 42}{space 1}    4.22{col 51}{space 3}0.000{col 59}{space 4} 2.639875{col 72}{space 3}  7.22667
{txt}{space 12}1949  {c |}{col 19}{res}{space 2} 5.259518{col 31}{space 2} 1.163567{col 42}{space 1}    4.52{col 51}{space 3}0.000{col 59}{space 4} 2.978682{col 72}{space 3} 7.540354
{txt}{space 12}1950  {c |}{col 19}{res}{space 2} 5.410242{col 31}{space 2} 1.126017{col 42}{space 1}    4.80{col 51}{space 3}0.000{col 59}{space 4}  3.20301{col 72}{space 3} 7.617473
{txt}{space 12}1951  {c |}{col 19}{res}{space 2}  5.58651{col 31}{space 2} 1.122548{col 42}{space 1}    4.98{col 51}{space 3}0.000{col 59}{space 4} 3.386079{col 72}{space 3} 7.786941
{txt}{space 12}1952  {c |}{col 19}{res}{space 2} 5.685528{col 31}{space 2} 1.119439{col 42}{space 1}    5.08{col 51}{space 3}0.000{col 59}{space 4} 3.491191{col 72}{space 3} 7.879866
{txt}{space 12}1953  {c |}{col 19}{res}{space 2} 5.532767{col 31}{space 2}  1.11868{col 42}{space 1}    4.95{col 51}{space 3}0.000{col 59}{space 4} 3.339917{col 72}{space 3} 7.725616
{txt}{space 12}1954  {c |}{col 19}{res}{space 2} 5.306482{col 31}{space 2} 1.119177{col 42}{space 1}    4.74{col 51}{space 3}0.000{col 59}{space 4} 3.112658{col 72}{space 3} 7.500305
{txt}{space 12}1955  {c |}{col 19}{res}{space 2} 5.310557{col 31}{space 2} 1.120779{col 42}{space 1}    4.74{col 51}{space 3}0.000{col 59}{space 4} 3.113593{col 72}{space 3} 7.507521
{txt}{space 12}1956  {c |}{col 19}{res}{space 2} 6.049654{col 31}{space 2}  1.11827{col 42}{space 1}    5.41{col 51}{space 3}0.000{col 59}{space 4} 3.857608{col 72}{space 3}   8.2417
{txt}{space 12}1957  {c |}{col 19}{res}{space 2} 6.041818{col 31}{space 2} 1.115646{col 42}{space 1}    5.42{col 51}{space 3}0.000{col 59}{space 4} 3.854915{col 72}{space 3}  8.22872
{txt}{space 12}1958  {c |}{col 19}{res}{space 2} 5.445684{col 31}{space 2}   1.1174{col 42}{space 1}    4.87{col 51}{space 3}0.000{col 59}{space 4} 3.255344{col 72}{space 3} 7.636023
{txt}{space 12}1959  {c |}{col 19}{res}{space 2} 5.613917{col 31}{space 2} 1.116658{col 42}{space 1}    5.03{col 51}{space 3}0.000{col 59}{space 4} 3.425032{col 72}{space 3} 7.802803
{txt}{space 12}1960  {c |}{col 19}{res}{space 2} 5.882486{col 31}{space 2} 1.106528{col 42}{space 1}    5.32{col 51}{space 3}0.000{col 59}{space 4} 3.713457{col 72}{space 3} 8.051515
{txt}{space 12}1961  {c |}{col 19}{res}{space 2} 5.750207{col 31}{space 2} 1.105148{col 42}{space 1}    5.20{col 51}{space 3}0.000{col 59}{space 4} 3.583884{col 72}{space 3} 7.916531
{txt}{space 12}1962  {c |}{col 19}{res}{space 2} 5.633145{col 31}{space 2} 1.102973{col 42}{space 1}    5.11{col 51}{space 3}0.000{col 59}{space 4} 3.471086{col 72}{space 3} 7.795205
{txt}{space 12}1963  {c |}{col 19}{res}{space 2} 5.653888{col 31}{space 2}  1.10243{col 42}{space 1}    5.13{col 51}{space 3}0.000{col 59}{space 4} 3.492893{col 72}{space 3} 7.814883
{txt}{space 12}1964  {c |}{col 19}{res}{space 2} 5.342621{col 31}{space 2} 1.101728{col 42}{space 1}    4.85{col 51}{space 3}0.000{col 59}{space 4} 3.183001{col 72}{space 3} 7.502241
{txt}{space 12}1965  {c |}{col 19}{res}{space 2} 5.255614{col 31}{space 2} 1.102066{col 42}{space 1}    4.77{col 51}{space 3}0.000{col 59}{space 4} 3.095331{col 72}{space 3} 7.415897
{txt}{space 12}1966  {c |}{col 19}{res}{space 2} 5.041533{col 31}{space 2} 1.101948{col 42}{space 1}    4.58{col 51}{space 3}0.000{col 59}{space 4} 2.881481{col 72}{space 3} 7.201584
{txt}{space 12}1967  {c |}{col 19}{res}{space 2} 4.754101{col 31}{space 2} 1.102568{col 42}{space 1}    4.31{col 51}{space 3}0.000{col 59}{space 4} 2.592835{col 72}{space 3} 6.915368
{txt}{space 12}1968  {c |}{col 19}{res}{space 2} 4.714012{col 31}{space 2} 1.102597{col 42}{space 1}    4.28{col 51}{space 3}0.000{col 59}{space 4} 2.552689{col 72}{space 3} 6.875335
{txt}{space 12}1969  {c |}{col 19}{res}{space 2} 4.471725{col 31}{space 2} 1.103763{col 42}{space 1}    4.05{col 51}{space 3}0.000{col 59}{space 4} 2.308116{col 72}{space 3} 6.635334
{txt}{space 12}1970  {c |}{col 19}{res}{space 2}    4.379{col 31}{space 2} 1.105806{col 42}{space 1}    3.96{col 51}{space 3}0.000{col 59}{space 4} 2.211386{col 72}{space 3} 6.546614
{txt}{space 12}1971  {c |}{col 19}{res}{space 2} 4.046841{col 31}{space 2} 1.106625{col 42}{space 1}    3.66{col 51}{space 3}0.000{col 59}{space 4} 1.877623{col 72}{space 3}  6.21606
{txt}{space 12}1972  {c |}{col 19}{res}{space 2} 3.533219{col 31}{space 2}  1.10722{col 42}{space 1}    3.19{col 51}{space 3}0.001{col 59}{space 4} 1.362835{col 72}{space 3} 5.703604
{txt}{space 12}1973  {c |}{col 19}{res}{space 2}  3.66628{col 31}{space 2} 1.108409{col 42}{space 1}    3.31{col 51}{space 3}0.001{col 59}{space 4} 1.493565{col 72}{space 3} 5.838996
{txt}{space 12}1974  {c |}{col 19}{res}{space 2} 3.710068{col 31}{space 2} 1.109219{col 42}{space 1}    3.34{col 51}{space 3}0.001{col 59}{space 4} 1.535764{col 72}{space 3} 5.884371
{txt}{space 12}1975  {c |}{col 19}{res}{space 2} 3.846827{col 31}{space 2} 1.110087{col 42}{space 1}    3.47{col 51}{space 3}0.001{col 59}{space 4} 1.670821{col 72}{space 3} 6.022832
{txt}{space 12}1976  {c |}{col 19}{res}{space 2} 3.549957{col 31}{space 2} 1.112206{col 42}{space 1}    3.19{col 51}{space 3}0.001{col 59}{space 4}   1.3698{col 72}{space 3} 5.730115
{txt}{space 12}1977  {c |}{col 19}{res}{space 2} 3.492221{col 31}{space 2} 1.112405{col 42}{space 1}    3.14{col 51}{space 3}0.002{col 59}{space 4} 1.311673{col 72}{space 3} 5.672769
{txt}{space 12}1978  {c |}{col 19}{res}{space 2} 3.832202{col 31}{space 2} 1.113528{col 42}{space 1}    3.44{col 51}{space 3}0.001{col 59}{space 4} 1.649451{col 72}{space 3} 6.014952
{txt}{space 12}1979  {c |}{col 19}{res}{space 2} 4.165412{col 31}{space 2} 1.117753{col 42}{space 1}    3.73{col 51}{space 3}0.000{col 59}{space 4} 1.974382{col 72}{space 3} 6.356443
{txt}{space 12}1980  {c |}{col 19}{res}{space 2} 4.252693{col 31}{space 2} 1.116404{col 42}{space 1}    3.81{col 51}{space 3}0.000{col 59}{space 4} 2.064306{col 72}{space 3}  6.44108
{txt}{space 12}1981  {c |}{col 19}{res}{space 2} 4.391164{col 31}{space 2} 1.117216{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} 2.201185{col 72}{space 3} 6.581143
{txt}{space 12}1982  {c |}{col 19}{res}{space 2} 4.464657{col 31}{space 2} 1.116228{col 42}{space 1}    4.00{col 51}{space 3}0.000{col 59}{space 4} 2.276615{col 72}{space 3} 6.652699
{txt}{space 12}1983  {c |}{col 19}{res}{space 2} 4.733795{col 31}{space 2} 1.116825{col 42}{space 1}    4.24{col 51}{space 3}0.000{col 59}{space 4} 2.544583{col 72}{space 3} 6.923006
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} 4.852584{col 31}{space 2} 1.116344{col 42}{space 1}    4.35{col 51}{space 3}0.000{col 59}{space 4} 2.664314{col 72}{space 3} 7.040855
{txt}{space 12}1985  {c |}{col 19}{res}{space 2}  5.20207{col 31}{space 2} 1.117002{col 42}{space 1}    4.66{col 51}{space 3}0.000{col 59}{space 4} 3.012511{col 72}{space 3} 7.391629
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} 5.407847{col 31}{space 2} 1.118286{col 42}{space 1}    4.84{col 51}{space 3}0.000{col 59}{space 4} 3.215769{col 72}{space 3} 7.599924
{txt}{space 12}1987  {c |}{col 19}{res}{space 2}  5.54188{col 31}{space 2} 1.118607{col 42}{space 1}    4.95{col 51}{space 3}0.000{col 59}{space 4} 3.349175{col 72}{space 3} 7.734585
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 5.947725{col 31}{space 2} 1.119133{col 42}{space 1}    5.31{col 51}{space 3}0.000{col 59}{space 4} 3.753988{col 72}{space 3} 8.141461
{txt}{space 12}1989  {c |}{col 19}{res}{space 2} 6.619253{col 31}{space 2}  1.11657{col 42}{space 1}    5.93{col 51}{space 3}0.000{col 59}{space 4}  4.43054{col 72}{space 3} 8.807965
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 7.375547{col 31}{space 2} 1.118256{col 42}{space 1}    6.60{col 51}{space 3}0.000{col 59}{space 4}  5.18353{col 72}{space 3} 9.567565
{txt}{space 12}1991  {c |}{col 19}{res}{space 2} 7.902728{col 31}{space 2} 1.116706{col 42}{space 1}    7.08{col 51}{space 3}0.000{col 59}{space 4} 5.713748{col 72}{space 3} 10.09171
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} 8.323393{col 31}{space 2} 1.116427{col 42}{space 1}    7.46{col 51}{space 3}0.000{col 59}{space 4}  6.13496{col 72}{space 3} 10.51183
{txt}{space 12}1993  {c |}{col 19}{res}{space 2} 8.564663{col 31}{space 2} 1.116822{col 42}{space 1}    7.67{col 51}{space 3}0.000{col 59}{space 4} 6.375456{col 72}{space 3} 10.75387
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} 8.852929{col 31}{space 2} 1.116474{col 42}{space 1}    7.93{col 51}{space 3}0.000{col 59}{space 4} 6.664405{col 72}{space 3} 11.04145
{txt}{space 12}1995  {c |}{col 19}{res}{space 2} 8.863599{col 31}{space 2} 1.118668{col 42}{space 1}    7.92{col 51}{space 3}0.000{col 59}{space 4} 6.670775{col 72}{space 3} 11.05642
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} 8.833285{col 31}{space 2} 1.119961{col 42}{space 1}    7.89{col 51}{space 3}0.000{col 59}{space 4} 6.637925{col 72}{space 3} 11.02865
{txt}{space 12}1997  {c |}{col 19}{res}{space 2} 8.899617{col 31}{space 2} 1.122327{col 42}{space 1}    7.93{col 51}{space 3}0.000{col 59}{space 4}  6.69962{col 72}{space 3} 11.09962
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 9.055324{col 31}{space 2} 1.122089{col 42}{space 1}    8.07{col 51}{space 3}0.000{col 59}{space 4} 6.855793{col 72}{space 3} 11.25486
{txt}{space 12}1999  {c |}{col 19}{res}{space 2} 9.131472{col 31}{space 2} 1.124172{col 42}{space 1}    8.12{col 51}{space 3}0.000{col 59}{space 4} 6.927859{col 72}{space 3} 11.33509
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} 9.308778{col 31}{space 2} 1.125907{col 42}{space 1}    8.27{col 51}{space 3}0.000{col 59}{space 4} 7.101762{col 72}{space 3} 11.51579
{txt}{space 12}2001  {c |}{col 19}{res}{space 2} 9.432181{col 31}{space 2} 1.128311{col 42}{space 1}    8.36{col 51}{space 3}0.000{col 59}{space 4} 7.220454{col 72}{space 3} 11.64391
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} 9.325801{col 31}{space 2} 1.130609{col 42}{space 1}    8.25{col 51}{space 3}0.000{col 59}{space 4} 7.109569{col 72}{space 3} 11.54203
{txt}{space 12}2003  {c |}{col 19}{res}{space 2} 9.413832{col 31}{space 2} 1.131482{col 42}{space 1}    8.32{col 51}{space 3}0.000{col 59}{space 4} 7.195889{col 72}{space 3} 11.63178
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} 9.411912{col 31}{space 2} 1.134407{col 42}{space 1}    8.30{col 51}{space 3}0.000{col 59}{space 4} 7.188234{col 72}{space 3} 11.63559
{txt}{space 12}2005  {c |}{col 19}{res}{space 2} 9.554009{col 31}{space 2} 1.136803{col 42}{space 1}    8.40{col 51}{space 3}0.000{col 59}{space 4} 7.325634{col 72}{space 3} 11.78238
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} 9.508397{col 31}{space 2} 1.139306{col 42}{space 1}    8.35{col 51}{space 3}0.000{col 59}{space 4} 7.275117{col 72}{space 3} 11.74168
{txt}{space 12}2007  {c |}{col 19}{res}{space 2} 9.418689{col 31}{space 2} 1.140036{col 42}{space 1}    8.26{col 51}{space 3}0.000{col 59}{space 4} 7.183978{col 72}{space 3}  11.6534
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} 9.535221{col 31}{space 2} 1.141284{col 42}{space 1}    8.35{col 51}{space 3}0.000{col 59}{space 4} 7.298064{col 72}{space 3} 11.77238
{txt}{space 12}2009  {c |}{col 19}{res}{space 2} 9.544219{col 31}{space 2} 1.140917{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} 7.307781{col 72}{space 3} 11.78066
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} 9.548975{col 31}{space 2} 1.142261{col 42}{space 1}    8.36{col 51}{space 3}0.000{col 59}{space 4} 7.309903{col 72}{space 3} 11.78805
{txt}{space 12}2011  {c |}{col 19}{res}{space 2} 9.782407{col 31}{space 2} 1.143583{col 42}{space 1}    8.55{col 51}{space 3}0.000{col 59}{space 4} 7.540743{col 72}{space 3} 12.02407
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} 9.733778{col 31}{space 2} 1.145417{col 42}{space 1}    8.50{col 51}{space 3}0.000{col 59}{space 4} 7.488519{col 72}{space 3} 11.97904
{txt}{space 12}2013  {c |}{col 19}{res}{space 2} 9.885132{col 31}{space 2} 1.146074{col 42}{space 1}    8.63{col 51}{space 3}0.000{col 59}{space 4} 7.638585{col 72}{space 3} 12.13168
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} 9.639703{col 31}{space 2}  1.14713{col 42}{space 1}    8.40{col 51}{space 3}0.000{col 59}{space 4} 7.391086{col 72}{space 3} 11.88832
{txt}{space 12}2015  {c |}{col 19}{res}{space 2} 9.753939{col 31}{space 2} 1.146153{col 42}{space 1}    8.51{col 51}{space 3}0.000{col 59}{space 4} 7.507238{col 72}{space 3} 12.00064
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} 9.630136{col 31}{space 2} 1.146961{col 42}{space 1}    8.40{col 51}{space 3}0.000{col 59}{space 4} 7.381851{col 72}{space 3} 11.87842
{txt}{space 12}2017  {c |}{col 19}{res}{space 2} 9.561338{col 31}{space 2} 1.148125{col 42}{space 1}    8.33{col 51}{space 3}0.000{col 59}{space 4} 7.310772{col 72}{space 3}  11.8119
{txt}{space 12}2018  {c |}{col 19}{res}{space 2} 9.564823{col 31}{space 2} 1.147601{col 42}{space 1}    8.33{col 51}{space 3}0.000{col 59}{space 4} 7.315283{col 72}{space 3} 11.81436
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-14.86963{col 31}{space 2} 1.358423{col 42}{space 1}  -10.95{col 51}{space 3}0.000{col 59}{space 4}-17.53242{col 72}{space 3}-12.20683
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} 4.5266919
          {txt}sigma_e {c |} {res} 4.2333913
              {txt}rho {c |} {res}   .533444{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}9603{txt}) = {res}70.31{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe2

. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. xtreg polity i.Asia##i.edu_did_70 ln_gdp , fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,906
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2896{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.2961{col 63}{txt}avg{col 67}={col 69}{res}      97.1
{txt}     overall = {res}0.3225{col 63}{txt}max{col 67}={col 69}{res}       199

{txt}{col 49}F({res}3{txt},{res}9801{txt}){col 67}={col 70}{res}  1332.02
{txt}corr(u_i, Xb){col 16}= {res}0.0070{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         polity{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Asia {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 3}1.edu_did_70 {c |}{col 17}{res}{space 2} 2.063849{col 29}{space 2} .1431356{col 40}{space 1}   14.42{col 49}{space 3}0.000{col 57}{space 4} 1.783274{col 70}{space 3} 2.344424
{txt}{space 15} {c |}
Asia#edu_did_70 {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2}-1.618895{col 29}{space 2} .3898826{col 40}{space 1}   -4.15{col 49}{space 3}0.000{col 57}{space 4}-2.383145{col 70}{space 3} -.854645
{txt}{space 15} {c |}
{space 9}ln_gdp {c |}{col 17}{res}{space 2} 3.153488{col 29}{space 2} .0700391{col 40}{space 1}   45.02{col 49}{space 3}0.000{col 57}{space 4} 3.016197{col 70}{space 3} 3.290778
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-26.10878{col 29}{space 2} .5521996{col 40}{space 1}  -47.28{col 49}{space 3}0.000{col 57}{space 4}-27.19121{col 70}{space 3}-25.02636
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        sigma_u {c |} {res} 4.0578519
        {txt}sigma_e {c |} {res}  4.509742
            {txt}rho {c |} {res} .44740222{txt}   (fraction of variance due to u_i)
{hline 16}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}9801{txt}) = {res}62.03{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia1

. 
. 
. 
. 
. 
. xtreg polity i.Asia##i.edu_did_70 ln_gdp  i.year, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     9,906
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3872{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.1016{col 63}{txt}avg{col 67}={col 69}{res}      97.1
{txt}     overall = {res}0.2555{col 63}{txt}max{col 67}={col 69}{res}       199

{txt}{col 49}F({res}201{txt},{res}9603{txt}){col 67}={col 70}{res}    30.19
{txt}corr(u_i, Xb){col 16}= {res}-0.0084{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         polity{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Asia {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 3}1.edu_did_70 {c |}{col 17}{res}{space 2} .7358579{col 29}{space 2} .1526666{col 40}{space 1}    4.82{col 49}{space 3}0.000{col 57}{space 4} .4365993{col 70}{space 3} 1.035117
{txt}{space 15} {c |}
Asia#edu_did_70 {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2}-1.863844{col 29}{space 2} .3771683{col 40}{space 1}   -4.94{col 49}{space 3}0.000{col 57}{space 4}-2.603173{col 70}{space 3}-1.124514
{txt}{space 15} {c |}
{space 9}ln_gdp {c |}{col 17}{res}{space 2} 1.393232{col 29}{space 2}  .137934{col 40}{space 1}   10.10{col 49}{space 3}0.000{col 57}{space 4} 1.122853{col 70}{space 3} 1.663612
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1821  {c |}{col 17}{res}{space 2}-1.090847{col 29}{space 2} 1.717448{col 40}{space 1}   -0.64{col 49}{space 3}0.525{col 57}{space 4}-4.457407{col 70}{space 3} 2.275713
{txt}{space 10}1822  {c |}{col 17}{res}{space 2}  -1.3107{col 29}{space 2} 1.717453{col 40}{space 1}   -0.76{col 49}{space 3}0.445{col 57}{space 4}-4.677272{col 70}{space 3} 2.055871
{txt}{space 10}1823  {c |}{col 17}{res}{space 2}-1.315675{col 29}{space 2} 1.717441{col 40}{space 1}   -0.77{col 49}{space 3}0.444{col 57}{space 4}-4.682222{col 70}{space 3} 2.050872
{txt}{space 10}1824  {c |}{col 17}{res}{space 2}-1.098497{col 29}{space 2} 1.717429{col 40}{space 1}   -0.64{col 49}{space 3}0.522{col 57}{space 4} -4.46502{col 70}{space 3} 2.268026
{txt}{space 10}1825  {c |}{col 17}{res}{space 2}-.7829649{col 29}{space 2} 1.657958{col 40}{space 1}   -0.47{col 49}{space 3}0.637{col 57}{space 4}-4.032913{col 70}{space 3} 2.466983
{txt}{space 10}1826  {c |}{col 17}{res}{space 2}-.5545039{col 29}{space 2} 1.717401{col 40}{space 1}   -0.32{col 49}{space 3}0.747{col 57}{space 4}-3.920972{col 70}{space 3} 2.811964
{txt}{space 10}1827  {c |}{col 17}{res}{space 2}-.3481152{col 29}{space 2} 1.717364{col 40}{space 1}   -0.20{col 49}{space 3}0.839{col 57}{space 4}-3.714511{col 70}{space 3} 3.018281
{txt}{space 10}1828  {c |}{col 17}{res}{space 2}-.1313116{col 29}{space 2} 1.717352{col 40}{space 1}   -0.08{col 49}{space 3}0.939{col 57}{space 4}-3.497684{col 70}{space 3} 3.235061
{txt}{space 10}1829  {c |}{col 17}{res}{space 2} .1896515{col 29}{space 2} 1.717325{col 40}{space 1}    0.11{col 49}{space 3}0.912{col 57}{space 4}-3.176667{col 70}{space 3}  3.55597
{txt}{space 10}1830  {c |}{col 17}{res}{space 2} .3742803{col 29}{space 2} 1.526704{col 40}{space 1}    0.25{col 49}{space 3}0.806{col 57}{space 4}-2.618382{col 70}{space 3} 3.366943
{txt}{space 10}1831  {c |}{col 17}{res}{space 2} .2592115{col 29}{space 2} 1.608179{col 40}{space 1}    0.16{col 49}{space 3}0.872{col 57}{space 4}-2.893159{col 70}{space 3} 3.411582
{txt}{space 10}1832  {c |}{col 17}{res}{space 2} .2233584{col 29}{space 2} 1.608104{col 40}{space 1}    0.14{col 49}{space 3}0.890{col 57}{space 4}-2.928864{col 70}{space 3} 3.375581
{txt}{space 10}1833  {c |}{col 17}{res}{space 2}-.0263757{col 29}{space 2} 1.565282{col 40}{space 1}   -0.02{col 49}{space 3}0.987{col 57}{space 4}-3.094658{col 70}{space 3} 3.041907
{txt}{space 10}1834  {c |}{col 17}{res}{space 2} .0343006{col 29}{space 2} 1.565241{col 40}{space 1}    0.02{col 49}{space 3}0.983{col 57}{space 4}-3.033903{col 70}{space 3} 3.102504
{txt}{space 10}1835  {c |}{col 17}{res}{space 2}-.7455703{col 29}{space 2} 1.527559{col 40}{space 1}   -0.49{col 49}{space 3}0.626{col 57}{space 4}-3.739908{col 70}{space 3} 2.248767
{txt}{space 10}1836  {c |}{col 17}{res}{space 2}-.3180023{col 29}{space 2} 1.564991{col 40}{space 1}   -0.20{col 49}{space 3}0.839{col 57}{space 4}-3.385715{col 70}{space 3} 2.749711
{txt}{space 10}1837  {c |}{col 17}{res}{space 2} .0824585{col 29}{space 2} 1.564971{col 40}{space 1}    0.05{col 49}{space 3}0.958{col 57}{space 4}-2.985215{col 70}{space 3} 3.150132
{txt}{space 10}1838  {c |}{col 17}{res}{space 2}  .078598{col 29}{space 2} 1.564967{col 40}{space 1}    0.05{col 49}{space 3}0.960{col 57}{space 4}-2.989067{col 70}{space 3} 3.146263
{txt}{space 10}1839  {c |}{col 17}{res}{space 2} .2643117{col 29}{space 2}  1.56499{col 40}{space 1}    0.17{col 49}{space 3}0.866{col 57}{space 4}-2.803399{col 70}{space 3} 3.332022
{txt}{space 10}1840  {c |}{col 17}{res}{space 2} .2783292{col 29}{space 2} 1.493941{col 40}{space 1}    0.19{col 49}{space 3}0.852{col 57}{space 4} -2.65011{col 70}{space 3} 3.206768
{txt}{space 10}1841  {c |}{col 17}{res}{space 2} .1573942{col 29}{space 2} 1.564961{col 40}{space 1}    0.10{col 49}{space 3}0.920{col 57}{space 4} -2.91026{col 70}{space 3} 3.225049
{txt}{space 10}1842  {c |}{col 17}{res}{space 2}-.1764779{col 29}{space 2} 1.564961{col 40}{space 1}   -0.11{col 49}{space 3}0.910{col 57}{space 4}-3.244131{col 70}{space 3} 2.891175
{txt}{space 10}1843  {c |}{col 17}{res}{space 2}-.1609557{col 29}{space 2} 1.564979{col 40}{space 1}   -0.10{col 49}{space 3}0.918{col 57}{space 4}-3.228645{col 70}{space 3} 2.906734
{txt}{space 10}1844  {c |}{col 17}{res}{space 2}-.2773102{col 29}{space 2} 1.564942{col 40}{space 1}   -0.18{col 49}{space 3}0.859{col 57}{space 4}-3.344926{col 70}{space 3} 2.790306
{txt}{space 10}1845  {c |}{col 17}{res}{space 2}-.0887946{col 29}{space 2} 1.527441{col 40}{space 1}   -0.06{col 49}{space 3}0.954{col 57}{space 4}-3.082901{col 70}{space 3} 2.905311
{txt}{space 10}1846  {c |}{col 17}{res}{space 2} -.894175{col 29}{space 2} 1.465151{col 40}{space 1}   -0.61{col 49}{space 3}0.542{col 57}{space 4}-3.766179{col 70}{space 3} 1.977829
{txt}{space 10}1847  {c |}{col 17}{res}{space 2} .0343068{col 29}{space 2} 1.527763{col 40}{space 1}    0.02{col 49}{space 3}0.982{col 57}{space 4}-2.960431{col 70}{space 3} 3.029044
{txt}{space 10}1848  {c |}{col 17}{res}{space 2} .7845955{col 29}{space 2} 1.527747{col 40}{space 1}    0.51{col 49}{space 3}0.608{col 57}{space 4}-2.210111{col 70}{space 3} 3.779302
{txt}{space 10}1849  {c |}{col 17}{res}{space 2} 1.686689{col 29}{space 2} 1.527732{col 40}{space 1}    1.10{col 49}{space 3}0.270{col 57}{space 4}-1.307989{col 70}{space 3} 4.681367
{txt}{space 10}1850  {c |}{col 17}{res}{space 2} 1.863008{col 29}{space 2} 1.328508{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4}-.7411473{col 70}{space 3} 4.467164
{txt}{space 10}1851  {c |}{col 17}{res}{space 2} 1.811166{col 29}{space 2}  1.46633{col 40}{space 1}    1.24{col 49}{space 3}0.217{col 57}{space 4} -1.06315{col 70}{space 3} 4.685481
{txt}{space 10}1852  {c |}{col 17}{res}{space 2} 1.145561{col 29}{space 2}  1.46633{col 40}{space 1}    0.78{col 49}{space 3}0.435{col 57}{space 4}-1.728755{col 70}{space 3} 4.019877
{txt}{space 10}1853  {c |}{col 17}{res}{space 2} 1.121689{col 29}{space 2} 1.466327{col 40}{space 1}    0.76{col 49}{space 3}0.444{col 57}{space 4} -1.75262{col 70}{space 3} 3.995998
{txt}{space 10}1854  {c |}{col 17}{res}{space 2}   1.0262{col 29}{space 2} 1.466328{col 40}{space 1}    0.70{col 49}{space 3}0.484{col 57}{space 4}-1.848112{col 70}{space 3} 3.900511
{txt}{space 10}1855  {c |}{col 17}{res}{space 2} 1.070651{col 29}{space 2} 1.440468{col 40}{space 1}    0.74{col 49}{space 3}0.457{col 57}{space 4}-1.752969{col 70}{space 3} 3.894272
{txt}{space 10}1856  {c |}{col 17}{res}{space 2}  1.10881{col 29}{space 2}  1.46636{col 40}{space 1}    0.76{col 49}{space 3}0.450{col 57}{space 4}-1.765566{col 70}{space 3} 3.983186
{txt}{space 10}1857  {c |}{col 17}{res}{space 2} 1.038041{col 29}{space 2} 1.466397{col 40}{space 1}    0.71{col 49}{space 3}0.479{col 57}{space 4}-1.836407{col 70}{space 3} 3.912488
{txt}{space 10}1858  {c |}{col 17}{res}{space 2} 1.030886{col 29}{space 2} 1.466402{col 40}{space 1}    0.70{col 49}{space 3}0.482{col 57}{space 4}-1.843572{col 70}{space 3} 3.905345
{txt}{space 10}1859  {c |}{col 17}{res}{space 2} .9589395{col 29}{space 2} 1.466407{col 40}{space 1}    0.65{col 49}{space 3}0.513{col 57}{space 4}-1.915527{col 70}{space 3} 3.833406
{txt}{space 10}1860  {c |}{col 17}{res}{space 2}  1.37041{col 29}{space 2}  1.34489{col 40}{space 1}    1.02{col 49}{space 3}0.308{col 57}{space 4}-1.265858{col 70}{space 3} 4.006679
{txt}{space 10}1861  {c |}{col 17}{res}{space 2} .4643349{col 29}{space 2} 1.417481{col 40}{space 1}    0.33{col 49}{space 3}0.743{col 57}{space 4}-2.314227{col 70}{space 3} 3.242897
{txt}{space 10}1862  {c |}{col 17}{res}{space 2}    1.426{col 29}{space 2}  1.41768{col 40}{space 1}    1.01{col 49}{space 3}0.315{col 57}{space 4}-1.352953{col 70}{space 3} 4.204952
{txt}{space 10}1863  {c |}{col 17}{res}{space 2} 1.572679{col 29}{space 2} 1.417707{col 40}{space 1}    1.11{col 49}{space 3}0.267{col 57}{space 4}-1.206326{col 70}{space 3} 4.351684
{txt}{space 10}1864  {c |}{col 17}{res}{space 2} 1.689614{col 29}{space 2} 1.417708{col 40}{space 1}    1.19{col 49}{space 3}0.233{col 57}{space 4}-1.089392{col 70}{space 3}  4.46862
{txt}{space 10}1865  {c |}{col 17}{res}{space 2} 1.947545{col 29}{space 2} 1.396747{col 40}{space 1}    1.39{col 49}{space 3}0.163{col 57}{space 4}-.7903727{col 70}{space 3} 4.685464
{txt}{space 10}1866  {c |}{col 17}{res}{space 2} 1.497492{col 29}{space 2} 1.396753{col 40}{space 1}    1.07{col 49}{space 3}0.284{col 57}{space 4}-1.240438{col 70}{space 3} 4.235422
{txt}{space 10}1867  {c |}{col 17}{res}{space 2} 1.489751{col 29}{space 2} 1.396762{col 40}{space 1}    1.07{col 49}{space 3}0.286{col 57}{space 4}-1.248196{col 70}{space 3} 4.227699
{txt}{space 10}1868  {c |}{col 17}{res}{space 2} 1.369631{col 29}{space 2} 1.377894{col 40}{space 1}    0.99{col 49}{space 3}0.320{col 57}{space 4}-1.331331{col 70}{space 3} 4.070593
{txt}{space 10}1869  {c |}{col 17}{res}{space 2} 1.646853{col 29}{space 2} 1.377946{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}-1.054213{col 70}{space 3} 4.347919
{txt}{space 10}1870  {c |}{col 17}{res}{space 2} 3.044655{col 29}{space 2} 1.202526{col 40}{space 1}    2.53{col 49}{space 3}0.011{col 57}{space 4} .6874511{col 70}{space 3} 5.401859
{txt}{space 10}1871  {c |}{col 17}{res}{space 2} 2.461956{col 29}{space 2} 1.304849{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4}-.0958231{col 70}{space 3} 5.019735
{txt}{space 10}1872  {c |}{col 17}{res}{space 2} 2.544337{col 29}{space 2} 1.304952{col 40}{space 1}    1.95{col 49}{space 3}0.051{col 57}{space 4}-.0136454{col 70}{space 3} 5.102318
{txt}{space 10}1873  {c |}{col 17}{res}{space 2} 2.421462{col 29}{space 2}  1.30506{col 40}{space 1}    1.86{col 49}{space 3}0.064{col 57}{space 4}-.1367317{col 70}{space 3} 4.979656
{txt}{space 10}1874  {c |}{col 17}{res}{space 2} 2.615076{col 29}{space 2} 1.292677{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} .0811571{col 70}{space 3} 5.148996
{txt}{space 10}1875  {c |}{col 17}{res}{space 2} 2.831329{col 29}{space 2} 1.293553{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .2956912{col 70}{space 3} 5.366966
{txt}{space 10}1876  {c |}{col 17}{res}{space 2} 2.668309{col 29}{space 2} 1.293562{col 40}{space 1}    2.06{col 49}{space 3}0.039{col 57}{space 4} .1326548{col 70}{space 3} 5.203964
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{txt}{space 10}1914  {c |}{col 17}{res}{space 2} 5.947399{col 29}{space 2} 1.242811{col 40}{space 1}    4.79{col 49}{space 3}0.000{col 57}{space 4} 3.511228{col 70}{space 3}  8.38357
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{txt}{space 10}1918  {c |}{col 17}{res}{space 2} 6.533935{col 29}{space 2} 1.235511{col 40}{space 1}    5.29{col 49}{space 3}0.000{col 57}{space 4} 4.112073{col 70}{space 3} 8.955797
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{txt}{space 10}1920  {c |}{col 17}{res}{space 2} 6.341392{col 29}{space 2} 1.185582{col 40}{space 1}    5.35{col 49}{space 3}0.000{col 57}{space 4}   4.0174{col 70}{space 3} 8.665383
{txt}{space 10}1921  {c |}{col 17}{res}{space 2} 6.361537{col 29}{space 2} 1.190143{col 40}{space 1}    5.35{col 49}{space 3}0.000{col 57}{space 4} 4.028604{col 70}{space 3} 8.694469
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{txt}{space 10}1925  {c |}{col 17}{res}{space 2} 5.377668{col 29}{space 2} 1.178813{col 40}{space 1}    4.56{col 49}{space 3}0.000{col 57}{space 4} 3.066946{col 70}{space 3}  7.68839
{txt}{space 10}1926  {c |}{col 17}{res}{space 2} 5.623004{col 29}{space 2} 1.183121{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4} 3.303836{col 70}{space 3} 7.942171
{txt}{space 10}1927  {c |}{col 17}{res}{space 2} 5.549695{col 29}{space 2} 1.183399{col 40}{space 1}    4.69{col 49}{space 3}0.000{col 57}{space 4} 3.229983{col 70}{space 3} 7.869407
{txt}{space 10}1928  {c |}{col 17}{res}{space 2} 5.335158{col 29}{space 2} 1.180061{col 40}{space 1}    4.52{col 49}{space 3}0.000{col 57}{space 4} 3.021989{col 70}{space 3} 7.648328
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{txt}{space 10}1930  {c |}{col 17}{res}{space 2}  5.31777{col 29}{space 2} 1.172526{col 40}{space 1}    4.54{col 49}{space 3}0.000{col 57}{space 4} 3.019371{col 70}{space 3} 7.616168
{txt}{space 10}1931  {c |}{col 17}{res}{space 2} 5.199211{col 29}{space 2} 1.171589{col 40}{space 1}    4.44{col 49}{space 3}0.000{col 57}{space 4} 2.902649{col 70}{space 3} 7.495773
{txt}{space 10}1932  {c |}{col 17}{res}{space 2} 5.317728{col 29}{space 2} 1.170785{col 40}{space 1}    4.54{col 49}{space 3}0.000{col 57}{space 4} 3.022743{col 70}{space 3} 7.612713
{txt}{space 10}1933  {c |}{col 17}{res}{space 2}  4.78442{col 29}{space 2} 1.171262{col 40}{space 1}    4.08{col 49}{space 3}0.000{col 57}{space 4}   2.4885{col 70}{space 3} 7.080341
{txt}{space 10}1934  {c |}{col 17}{res}{space 2} 4.323906{col 29}{space 2} 1.171686{col 40}{space 1}    3.69{col 49}{space 3}0.000{col 57}{space 4} 2.027154{col 70}{space 3} 6.620658
{txt}{space 10}1935  {c |}{col 17}{res}{space 2} 4.346189{col 29}{space 2} 1.169142{col 40}{space 1}    3.72{col 49}{space 3}0.000{col 57}{space 4} 2.054424{col 70}{space 3} 6.637954
{txt}{space 10}1936  {c |}{col 17}{res}{space 2} 3.565203{col 29}{space 2} 1.169649{col 40}{space 1}    3.05{col 49}{space 3}0.002{col 57}{space 4} 1.272445{col 70}{space 3} 5.857962
{txt}{space 10}1937  {c |}{col 17}{res}{space 2} 3.707563{col 29}{space 2} 1.174428{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} 1.405435{col 70}{space 3}  6.00969
{txt}{space 10}1938  {c |}{col 17}{res}{space 2} 3.850251{col 29}{space 2} 1.170334{col 40}{space 1}    3.29{col 49}{space 3}0.001{col 57}{space 4} 1.556149{col 70}{space 3} 6.144353
{txt}{space 10}1939  {c |}{col 17}{res}{space 2} 3.687935{col 29}{space 2} 1.175425{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} 1.383854{col 70}{space 3} 5.992015
{txt}{space 10}1940  {c |}{col 17}{res}{space 2}  3.44005{col 29}{space 2} 1.175175{col 40}{space 1}    2.93{col 49}{space 3}0.003{col 57}{space 4} 1.136459{col 70}{space 3} 5.743641
{txt}{space 10}1941  {c |}{col 17}{res}{space 2} 2.985188{col 29}{space 2} 1.196567{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} .6396633{col 70}{space 3} 5.330712
{txt}{space 10}1942  {c |}{col 17}{res}{space 2} 3.002097{col 29}{space 2} 1.196347{col 40}{space 1}    2.51{col 49}{space 3}0.012{col 57}{space 4} .6570044{col 70}{space 3}  5.34719
{txt}{space 10}1943  {c |}{col 17}{res}{space 2} 3.075206{col 29}{space 2} 1.200984{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4} .7210228{col 70}{space 3} 5.429389
{txt}{space 10}1944  {c |}{col 17}{res}{space 2} 3.835462{col 29}{space 2} 1.195834{col 40}{space 1}    3.21{col 49}{space 3}0.001{col 57}{space 4} 1.491374{col 70}{space 3}  6.17955
{txt}{space 10}1945  {c |}{col 17}{res}{space 2} 4.796341{col 29}{space 2} 1.177582{col 40}{space 1}    4.07{col 49}{space 3}0.000{col 57}{space 4} 2.488032{col 70}{space 3}  7.10465
{txt}{space 10}1946  {c |}{col 17}{res}{space 2} 5.790904{col 29}{space 2} 1.183222{col 40}{space 1}    4.89{col 49}{space 3}0.000{col 57}{space 4} 3.471539{col 70}{space 3} 8.110269
{txt}{space 10}1947  {c |}{col 17}{res}{space 2} 5.724448{col 29}{space 2} 1.184121{col 40}{space 1}    4.83{col 49}{space 3}0.000{col 57}{space 4} 3.403322{col 70}{space 3} 8.045574
{txt}{space 10}1948  {c |}{col 17}{res}{space 2} 5.143194{col 29}{space 2} 1.169174{col 40}{space 1}    4.40{col 49}{space 3}0.000{col 57}{space 4} 2.851366{col 70}{space 3} 7.435022
{txt}{space 10}1949  {c |}{col 17}{res}{space 2} 5.452676{col 29}{space 2} 1.162675{col 40}{space 1}    4.69{col 49}{space 3}0.000{col 57}{space 4} 3.173588{col 70}{space 3} 7.731764
{txt}{space 10}1950  {c |}{col 17}{res}{space 2} 5.607327{col 29}{space 2}  1.12518{col 40}{space 1}    4.98{col 49}{space 3}0.000{col 57}{space 4} 3.401738{col 70}{space 3} 7.812917
{txt}{space 10}1951  {c |}{col 17}{res}{space 2} 5.790444{col 29}{space 2} 1.121701{col 40}{space 1}    5.16{col 49}{space 3}0.000{col 57}{space 4} 3.591673{col 70}{space 3} 7.989215
{txt}{space 10}1952  {c |}{col 17}{res}{space 2} 5.876021{col 29}{space 2} 1.118572{col 40}{space 1}    5.25{col 49}{space 3}0.000{col 57}{space 4} 3.683383{col 70}{space 3} 8.068659
{txt}{space 10}1953  {c |}{col 17}{res}{space 2} 5.708394{col 29}{space 2} 1.117799{col 40}{space 1}    5.11{col 49}{space 3}0.000{col 57}{space 4} 3.517272{col 70}{space 3} 7.899516
{txt}{space 10}1954  {c |}{col 17}{res}{space 2} 5.478887{col 29}{space 2} 1.118303{col 40}{space 1}    4.90{col 49}{space 3}0.000{col 57}{space 4} 3.286778{col 70}{space 3} 7.670996
{txt}{space 10}1955  {c |}{col 17}{res}{space 2} 5.465805{col 29}{space 2} 1.119894{col 40}{space 1}    4.88{col 49}{space 3}0.000{col 57}{space 4} 3.270577{col 70}{space 3} 7.661033
{txt}{space 10}1956  {c |}{col 17}{res}{space 2} 6.205046{col 29}{space 2} 1.117399{col 40}{space 1}    5.55{col 49}{space 3}0.000{col 57}{space 4} 4.014708{col 70}{space 3} 8.395384
{txt}{space 10}1957  {c |}{col 17}{res}{space 2} 6.177673{col 29}{space 2} 1.114741{col 40}{space 1}    5.54{col 49}{space 3}0.000{col 57}{space 4} 3.992546{col 70}{space 3} 8.362801
{txt}{space 10}1958  {c |}{col 17}{res}{space 2} 5.575413{col 29}{space 2} 1.116508{col 40}{space 1}    4.99{col 49}{space 3}0.000{col 57}{space 4} 3.386821{col 70}{space 3} 7.764005
{txt}{space 10}1959  {c |}{col 17}{res}{space 2} 5.739669{col 29}{space 2} 1.115784{col 40}{space 1}    5.14{col 49}{space 3}0.000{col 57}{space 4} 3.552496{col 70}{space 3} 7.926841
{txt}{space 10}1960  {c |}{col 17}{res}{space 2} 6.020939{col 29}{space 2} 1.105753{col 40}{space 1}    5.45{col 49}{space 3}0.000{col 57}{space 4} 3.853431{col 70}{space 3} 8.188448
{txt}{space 10}1961  {c |}{col 17}{res}{space 2}  5.88868{col 29}{space 2} 1.104377{col 40}{space 1}    5.33{col 49}{space 3}0.000{col 57}{space 4} 3.723868{col 70}{space 3} 8.053491
{txt}{space 10}1962  {c |}{col 17}{res}{space 2} 5.771286{col 29}{space 2} 1.102211{col 40}{space 1}    5.24{col 49}{space 3}0.000{col 57}{space 4} 3.610719{col 70}{space 3} 7.931853
{txt}{space 10}1963  {c |}{col 17}{res}{space 2} 5.790935{col 29}{space 2} 1.101673{col 40}{space 1}    5.26{col 49}{space 3}0.000{col 57}{space 4} 3.631423{col 70}{space 3} 7.950446
{txt}{space 10}1964  {c |}{col 17}{res}{space 2} 5.479075{col 29}{space 2} 1.100976{col 40}{space 1}    4.98{col 49}{space 3}0.000{col 57}{space 4} 3.320929{col 70}{space 3}  7.63722
{txt}{space 10}1965  {c |}{col 17}{res}{space 2}  5.37391{col 29}{space 2} 1.101359{col 40}{space 1}    4.88{col 49}{space 3}0.000{col 57}{space 4} 3.215013{col 70}{space 3} 7.532807
{txt}{space 10}1966  {c |}{col 17}{res}{space 2} 5.158656{col 29}{space 2} 1.101245{col 40}{space 1}    4.68{col 49}{space 3}0.000{col 57}{space 4} 2.999984{col 70}{space 3} 7.317327
{txt}{space 10}1967  {c |}{col 17}{res}{space 2} 4.868249{col 29}{space 2} 1.101869{col 40}{space 1}    4.42{col 49}{space 3}0.000{col 57}{space 4} 2.708352{col 70}{space 3} 7.028145
{txt}{space 10}1968  {c |}{col 17}{res}{space 2} 4.823649{col 29}{space 2} 1.101909{col 40}{space 1}    4.38{col 49}{space 3}0.000{col 57}{space 4} 2.663674{col 70}{space 3} 6.983624
{txt}{space 10}1969  {c |}{col 17}{res}{space 2} 4.575923{col 29}{space 2} 1.103084{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} 2.413645{col 70}{space 3} 6.738201
{txt}{space 10}1970  {c |}{col 17}{res}{space 2} 4.448084{col 29}{space 2} 1.105198{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} 2.281663{col 70}{space 3} 6.614504
{txt}{space 10}1971  {c |}{col 17}{res}{space 2} 4.112238{col 29}{space 2} 1.106022{col 40}{space 1}    3.72{col 49}{space 3}0.000{col 57}{space 4} 1.944202{col 70}{space 3} 6.280275
{txt}{space 10}1972  {c |}{col 17}{res}{space 2} 3.586197{col 29}{space 2} 1.106626{col 40}{space 1}    3.24{col 49}{space 3}0.001{col 57}{space 4} 1.416977{col 70}{space 3} 5.755417
{txt}{space 10}1973  {c |}{col 17}{res}{space 2} 3.714086{col 29}{space 2} 1.107823{col 40}{space 1}    3.35{col 49}{space 3}0.001{col 57}{space 4} 1.542519{col 70}{space 3} 5.885653
{txt}{space 10}1974  {c |}{col 17}{res}{space 2} 3.754394{col 29}{space 2} 1.108639{col 40}{space 1}    3.39{col 49}{space 3}0.001{col 57}{space 4} 1.581228{col 70}{space 3} 5.927561
{txt}{space 10}1975  {c |}{col 17}{res}{space 2}  3.88178{col 29}{space 2}  1.10957{col 40}{space 1}    3.50{col 49}{space 3}0.000{col 57}{space 4} 1.706789{col 70}{space 3} 6.056771
{txt}{space 10}1976  {c |}{col 17}{res}{space 2} 3.576038{col 29}{space 2} 1.111693{col 40}{space 1}    3.22{col 49}{space 3}0.001{col 57}{space 4} 1.396885{col 70}{space 3}  5.75519
{txt}{space 10}1977  {c |}{col 17}{res}{space 2} 3.517478{col 29}{space 2} 1.111892{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} 1.337934{col 70}{space 3} 5.697022
{txt}{space 10}1978  {c |}{col 17}{res}{space 2} 3.852853{col 29}{space 2} 1.113018{col 40}{space 1}    3.46{col 49}{space 3}0.001{col 57}{space 4} 1.671103{col 70}{space 3} 6.034604
{txt}{space 10}1979  {c |}{col 17}{res}{space 2} 4.185551{col 29}{space 2} 1.117246{col 40}{space 1}    3.75{col 49}{space 3}0.000{col 57}{space 4} 1.995512{col 70}{space 3} 6.375589
{txt}{space 10}1980  {c |}{col 17}{res}{space 2} 4.275578{col 29}{space 2} 1.115909{col 40}{space 1}    3.83{col 49}{space 3}0.000{col 57}{space 4}  2.08816{col 70}{space 3} 6.462996
{txt}{space 10}1981  {c |}{col 17}{res}{space 2} 4.410804{col 29}{space 2} 1.116721{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} 2.221795{col 70}{space 3} 6.599813
{txt}{space 10}1982  {c |}{col 17}{res}{space 2} 4.488251{col 29}{space 2} 1.115733{col 40}{space 1}    4.02{col 49}{space 3}0.000{col 57}{space 4} 2.301178{col 70}{space 3} 6.675324
{txt}{space 10}1983  {c |}{col 17}{res}{space 2} 4.754995{col 29}{space 2}  1.11633{col 40}{space 1}    4.26{col 49}{space 3}0.000{col 57}{space 4} 2.566753{col 70}{space 3} 6.943237
{txt}{space 10}1984  {c |}{col 17}{res}{space 2} 4.875709{col 29}{space 2}  1.11585{col 40}{space 1}    4.37{col 49}{space 3}0.000{col 57}{space 4} 2.688408{col 70}{space 3}  7.06301
{txt}{space 10}1985  {c |}{col 17}{res}{space 2}   5.2335{col 29}{space 2}  1.11652{col 40}{space 1}    4.69{col 49}{space 3}0.000{col 57}{space 4} 3.044885{col 70}{space 3} 7.422116
{txt}{space 10}1986  {c |}{col 17}{res}{space 2} 5.434172{col 29}{space 2} 1.117802{col 40}{space 1}    4.86{col 49}{space 3}0.000{col 57}{space 4} 3.243045{col 70}{space 3} 7.625299
{txt}{space 10}1987  {c |}{col 17}{res}{space 2} 5.566943{col 29}{space 2} 1.118121{col 40}{space 1}    4.98{col 49}{space 3}0.000{col 57}{space 4}  3.37519{col 70}{space 3} 7.758697
{txt}{space 10}1988  {c |}{col 17}{res}{space 2} 5.970724{col 29}{space 2} 1.118646{col 40}{space 1}    5.34{col 49}{space 3}0.000{col 57}{space 4} 3.777942{col 70}{space 3} 8.163506
{txt}{space 10}1989  {c |}{col 17}{res}{space 2} 6.637836{col 29}{space 2} 1.116079{col 40}{space 1}    5.95{col 49}{space 3}0.000{col 57}{space 4} 4.450086{col 70}{space 3} 8.825585
{txt}{space 10}1990  {c |}{col 17}{res}{space 2} 7.398683{col 29}{space 2} 1.117773{col 40}{space 1}    6.62{col 49}{space 3}0.000{col 57}{space 4} 5.207612{col 70}{space 3} 9.589754
{txt}{space 10}1991  {c |}{col 17}{res}{space 2} 7.927465{col 29}{space 2} 1.116226{col 40}{space 1}    7.10{col 49}{space 3}0.000{col 57}{space 4} 5.739427{col 70}{space 3}  10.1155
{txt}{space 10}1992  {c |}{col 17}{res}{space 2} 8.346115{col 29}{space 2} 1.115945{col 40}{space 1}    7.48{col 49}{space 3}0.000{col 57}{space 4} 6.158627{col 70}{space 3}  10.5336
{txt}{space 10}1993  {c |}{col 17}{res}{space 2}  8.58282{col 29}{space 2} 1.116337{col 40}{space 1}    7.69{col 49}{space 3}0.000{col 57}{space 4} 6.394564{col 70}{space 3} 10.77107
{txt}{space 10}1994  {c |}{col 17}{res}{space 2} 8.872439{col 29}{space 2}  1.11599{col 40}{space 1}    7.95{col 49}{space 3}0.000{col 57}{space 4} 6.684864{col 70}{space 3} 11.06002
{txt}{space 10}1995  {c |}{col 17}{res}{space 2} 8.877304{col 29}{space 2}  1.11818{col 40}{space 1}    7.94{col 49}{space 3}0.000{col 57}{space 4} 6.685436{col 70}{space 3} 11.06917
{txt}{space 10}1996  {c |}{col 17}{res}{space 2}  8.84206{col 29}{space 2} 1.119467{col 40}{space 1}    7.90{col 49}{space 3}0.000{col 57}{space 4} 6.647669{col 70}{space 3} 11.03645
{txt}{space 10}1997  {c |}{col 17}{res}{space 2} 8.899532{col 29}{space 2} 1.121821{col 40}{space 1}    7.93{col 49}{space 3}0.000{col 57}{space 4} 6.700526{col 70}{space 3} 11.09854
{txt}{space 10}1998  {c |}{col 17}{res}{space 2} 9.056121{col 29}{space 2} 1.121584{col 40}{space 1}    8.07{col 49}{space 3}0.000{col 57}{space 4} 6.857579{col 70}{space 3} 11.25466
{txt}{space 10}1999  {c |}{col 17}{res}{space 2} 9.124611{col 29}{space 2} 1.123656{col 40}{space 1}    8.12{col 49}{space 3}0.000{col 57}{space 4} 6.922007{col 70}{space 3} 11.32721
{txt}{space 10}2000  {c |}{col 17}{res}{space 2} 9.290404{col 29}{space 2} 1.125361{col 40}{space 1}    8.26{col 49}{space 3}0.000{col 57}{space 4} 7.084459{col 70}{space 3} 11.49635
{txt}{space 10}2001  {c |}{col 17}{res}{space 2} 9.409545{col 29}{space 2} 1.127754{col 40}{space 1}    8.34{col 49}{space 3}0.000{col 57}{space 4}  7.19891{col 70}{space 3} 11.62018
{txt}{space 10}2002  {c |}{col 17}{res}{space 2} 9.295028{col 29}{space 2} 1.130036{col 40}{space 1}    8.23{col 49}{space 3}0.000{col 57}{space 4} 7.079918{col 70}{space 3} 11.51014
{txt}{space 10}2003  {c |}{col 17}{res}{space 2} 9.384422{col 29}{space 2} 1.130911{col 40}{space 1}    8.30{col 49}{space 3}0.000{col 57}{space 4} 7.167597{col 70}{space 3} 11.60125
{txt}{space 10}2004  {c |}{col 17}{res}{space 2}  9.37236{col 29}{space 2} 1.133817{col 40}{space 1}    8.27{col 49}{space 3}0.000{col 57}{space 4} 7.149839{col 70}{space 3} 11.59488
{txt}{space 10}2005  {c |}{col 17}{res}{space 2} 9.497008{col 29}{space 2}  1.13614{col 40}{space 1}    8.36{col 49}{space 3}0.000{col 57}{space 4} 7.269933{col 70}{space 3} 11.72408
{txt}{space 10}2006  {c |}{col 17}{res}{space 2} 9.440535{col 29}{space 2} 1.138617{col 40}{space 1}    8.29{col 49}{space 3}0.000{col 57}{space 4} 7.208605{col 70}{space 3} 11.67246
{txt}{space 10}2007  {c |}{col 17}{res}{space 2} 9.348411{col 29}{space 2} 1.139341{col 40}{space 1}    8.21{col 49}{space 3}0.000{col 57}{space 4} 7.115062{col 70}{space 3} 11.58176
{txt}{space 10}2008  {c |}{col 17}{res}{space 2}  9.46084{col 29}{space 2} 1.140579{col 40}{space 1}    8.29{col 49}{space 3}0.000{col 57}{space 4} 7.225064{col 70}{space 3} 11.69662
{txt}{space 10}2009  {c |}{col 17}{res}{space 2} 9.469253{col 29}{space 2} 1.140213{col 40}{space 1}    8.30{col 49}{space 3}0.000{col 57}{space 4} 7.234196{col 70}{space 3} 11.70431
{txt}{space 10}2010  {c |}{col 17}{res}{space 2} 9.463431{col 29}{space 2}  1.14153{col 40}{space 1}    8.29{col 49}{space 3}0.000{col 57}{space 4} 7.225792{col 70}{space 3} 11.70107
{txt}{space 10}2011  {c |}{col 17}{res}{space 2}  9.69036{col 29}{space 2} 1.142838{col 40}{space 1}    8.48{col 49}{space 3}0.000{col 57}{space 4} 7.450156{col 70}{space 3} 11.93056
{txt}{space 10}2012  {c |}{col 17}{res}{space 2} 9.638118{col 29}{space 2} 1.144662{col 40}{space 1}    8.42{col 49}{space 3}0.000{col 57}{space 4} 7.394339{col 70}{space 3}  11.8819
{txt}{space 10}2013  {c |}{col 17}{res}{space 2} 9.787392{col 29}{space 2} 1.145314{col 40}{space 1}    8.55{col 49}{space 3}0.000{col 57}{space 4} 7.542336{col 70}{space 3} 12.03245
{txt}{space 10}2014  {c |}{col 17}{res}{space 2} 9.551574{col 29}{space 2} 1.146354{col 40}{space 1}    8.33{col 49}{space 3}0.000{col 57}{space 4} 7.304478{col 70}{space 3} 11.79867
{txt}{space 10}2015  {c |}{col 17}{res}{space 2} 9.668891{col 29}{space 2} 1.145385{col 40}{space 1}    8.44{col 49}{space 3}0.000{col 57}{space 4} 7.423694{col 70}{space 3} 11.91409
{txt}{space 10}2016  {c |}{col 17}{res}{space 2} 9.540172{col 29}{space 2} 1.146183{col 40}{space 1}    8.32{col 49}{space 3}0.000{col 57}{space 4} 7.293413{col 70}{space 3} 11.78693
{txt}{space 10}2017  {c |}{col 17}{res}{space 2} 9.467748{col 29}{space 2} 1.147336{col 40}{space 1}    8.25{col 49}{space 3}0.000{col 57}{space 4} 7.218726{col 70}{space 3} 11.71677
{txt}{space 10}2018  {c |}{col 17}{res}{space 2} 9.472862{col 29}{space 2} 1.146817{col 40}{space 1}    8.26{col 49}{space 3}0.000{col 57}{space 4} 7.224858{col 70}{space 3} 11.72087
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-16.14448{col 29}{space 2} 1.362099{col 40}{space 1}  -11.85{col 49}{space 3}0.000{col 57}{space 4}-18.81448{col 70}{space 3}-13.47448
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        sigma_u {c |} {res} 4.5612393
        {txt}sigma_e {c |} {res} 4.2315096
            {txt}rho {c |} {res} .53744753{txt}   (fraction of variance due to u_i)
{hline 16}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}9603{txt}) = {res}70.69{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia2

. 
. 
. 
. 
. 
. 
. 
. coefplot (europe1) (asia1) , bylabel (Country FE)  || (europe2) (asia2), bylabel (Country & Year FE) ||, omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep(1.Europe#1.edu_did_70 || 1.Asia#1.edu_did_70)
{res}
{com}. # post-war did
{err}Unknown #command

{com}. xtreg polity i.Europe##i.edu_did_70 ln_gdp if word_war==1 , fe
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1622{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.4436{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.3153{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}3{txt},{res}6558{txt}){col 67}={col 70}{res}   423.27
{txt}corr(u_i, Xb){col 16}= {res}-0.2339{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Europe {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2} 2.919281{col 31}{space 2} .1808208{col 42}{space 1}   16.14{col 51}{space 3}0.000{col 59}{space 4} 2.564813{col 72}{space 3} 3.273749
{txt}{space 17} {c |}
Europe#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}  5.02794{col 31}{space 2} 1.314207{col 42}{space 1}    3.83{col 51}{space 3}0.000{col 59}{space 4} 2.451667{col 72}{space 3} 7.604214
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} 2.529851{col 31}{space 2} .1072772{col 42}{space 1}   23.58{col 51}{space 3}0.000{col 59}{space 4} 2.319553{col 72}{space 3}  2.74015
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -23.1159{col 31}{space 2} .9268233{col 42}{space 1}  -24.94{col 51}{space 3}0.000{col 59}{space 4}-24.93278{col 72}{space 3}-21.29903
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} 4.2728083
          {txt}sigma_e {c |} {res} 4.4409277
              {txt}rho {c |} {res} .48071357{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6558{txt}) = {res}54.25{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe1

. 
. 
. 
. xtreg polity i.Europe##i.edu_did_70 ln_gdp i.year if word_war==1  , fe
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3137{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.2462{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.2580{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}75{txt},{res}6486{txt}){col 67}={col 70}{res}    39.52
{txt}corr(u_i, Xb){col 16}= {res}-0.1912{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Europe {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2} .5760373{col 31}{space 2} .1885816{col 42}{space 1}    3.05{col 51}{space 3}0.002{col 59}{space 4} .2063552{col 72}{space 3} .9457194
{txt}{space 17} {c |}
Europe#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} 8.673052{col 31}{space 2} 1.213461{col 42}{space 1}    7.15{col 51}{space 3}0.000{col 59}{space 4} 6.294268{col 72}{space 3} 11.05184
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} .0969675{col 31}{space 2} .1520885{col 42}{space 1}    0.64{col 51}{space 3}0.524{col 59}{space 4}-.2011762{col 72}{space 3} .3951112
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}1947  {c |}{col 19}{res}{space 2}-.0046253{col 31}{space 2} .8717032{col 42}{space 1}   -0.01{col 51}{space 3}0.996{col 59}{space 4}-1.713451{col 72}{space 3}   1.7042
{txt}{space 12}1948  {c |}{col 19}{res}{space 2}-.5035239{col 31}{space 2} .8532956{col 42}{space 1}   -0.59{col 51}{space 3}0.555{col 59}{space 4}-2.176265{col 72}{space 3} 1.169217
{txt}{space 12}1949  {c |}{col 19}{res}{space 2}-.2465041{col 31}{space 2}   .84509{col 42}{space 1}   -0.29{col 51}{space 3}0.771{col 59}{space 4}-1.903159{col 72}{space 3} 1.410151
{txt}{space 12}1950  {c |}{col 19}{res}{space 2}-.2515382{col 31}{space 2} .7968895{col 42}{space 1}   -0.32{col 51}{space 3}0.752{col 59}{space 4}-1.813705{col 72}{space 3} 1.310628
{txt}{space 12}1951  {c |}{col 19}{res}{space 2} -.059625{col 31}{space 2}  .792269{col 42}{space 1}   -0.08{col 51}{space 3}0.940{col 59}{space 4}-1.612733{col 72}{space 3} 1.493484
{txt}{space 12}1952  {c |}{col 19}{res}{space 2} .0219178{col 31}{space 2} .7879574{col 42}{space 1}    0.03{col 51}{space 3}0.978{col 59}{space 4}-1.522739{col 72}{space 3} 1.566574
{txt}{space 12}1953  {c |}{col 19}{res}{space 2}-.0868668{col 31}{space 2} .7860561{col 42}{space 1}   -0.11{col 51}{space 3}0.912{col 59}{space 4}-1.627796{col 72}{space 3} 1.454062
{txt}{space 12}1954  {c |}{col 19}{res}{space 2}-.2889204{col 31}{space 2} .7861868{col 42}{space 1}   -0.37{col 51}{space 3}0.713{col 59}{space 4}-1.830106{col 72}{space 3} 1.252265
{txt}{space 12}1955  {c |}{col 19}{res}{space 2}-.3772643{col 31}{space 2} .7875962{col 42}{space 1}   -0.48{col 51}{space 3}0.632{col 59}{space 4}-1.921213{col 72}{space 3} 1.166684
{txt}{space 12}1956  {c |}{col 19}{res}{space 2} .4019857{col 31}{space 2} .7838862{col 42}{space 1}    0.51{col 51}{space 3}0.608{col 59}{space 4} -1.13469{col 72}{space 3} 1.938661
{txt}{space 12}1957  {c |}{col 19}{res}{space 2} .4260007{col 31}{space 2} .7800392{col 42}{space 1}    0.55{col 51}{space 3}0.585{col 59}{space 4}-1.103133{col 72}{space 3} 1.955135
{txt}{space 12}1958  {c |}{col 19}{res}{space 2}-.1638231{col 31}{space 2}  .782059{col 42}{space 1}   -0.21{col 51}{space 3}0.834{col 59}{space 4}-1.696917{col 72}{space 3} 1.369271
{txt}{space 12}1959  {c |}{col 19}{res}{space 2} .0331081{col 31}{space 2} .7804311{col 42}{space 1}    0.04{col 51}{space 3}0.966{col 59}{space 4}-1.496794{col 72}{space 3}  1.56301
{txt}{space 12}1960  {c |}{col 19}{res}{space 2} .3906685{col 31}{space 2} .7648649{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-1.108719{col 72}{space 3} 1.890056
{txt}{space 12}1961  {c |}{col 19}{res}{space 2} .2983887{col 31}{space 2}  .762345{col 42}{space 1}    0.39{col 51}{space 3}0.696{col 59}{space 4}-1.196059{col 72}{space 3} 1.792836
{txt}{space 12}1962  {c |}{col 19}{res}{space 2} .2231676{col 31}{space 2} .7586933{col 42}{space 1}    0.29{col 51}{space 3}0.769{col 59}{space 4}-1.264122{col 72}{space 3} 1.710457
{txt}{space 12}1963  {c |}{col 19}{res}{space 2} .3093543{col 31}{space 2}  .756858{col 42}{space 1}    0.41{col 51}{space 3}0.683{col 59}{space 4}-1.174337{col 72}{space 3} 1.793046
{txt}{space 12}1964  {c |}{col 19}{res}{space 2} .0506751{col 31}{space 2} .7550426{col 42}{space 1}    0.07{col 51}{space 3}0.946{col 59}{space 4}-1.429458{col 72}{space 3} 1.530808
{txt}{space 12}1965  {c |}{col 19}{res}{space 2}-.0185321{col 31}{space 2} .7545649{col 42}{space 1}   -0.02{col 51}{space 3}0.980{col 59}{space 4}-1.497728{col 72}{space 3} 1.460664
{txt}{space 12}1966  {c |}{col 19}{res}{space 2}-.2005992{col 31}{space 2}  .753859{col 42}{space 1}   -0.27{col 51}{space 3}0.790{col 59}{space 4}-1.678411{col 72}{space 3} 1.277213
{txt}{space 12}1967  {c |}{col 19}{res}{space 2}-.4656535{col 31}{space 2} .7542543{col 42}{space 1}   -0.62{col 51}{space 3}0.537{col 59}{space 4}-1.944241{col 72}{space 3} 1.012934
{txt}{space 12}1968  {c |}{col 19}{res}{space 2}-.4762039{col 31}{space 2} .7536762{col 42}{space 1}   -0.63{col 51}{space 3}0.528{col 59}{space 4}-1.953658{col 72}{space 3}  1.00125
{txt}{space 12}1969  {c |}{col 19}{res}{space 2}-.6775873{col 31}{space 2} .7544589{col 42}{space 1}   -0.90{col 51}{space 3}0.369{col 59}{space 4}-2.156576{col 72}{space 3} .8014011
{txt}{space 12}1970  {c |}{col 19}{res}{space 2}-.7580529{col 31}{space 2} .7558735{col 42}{space 1}   -1.00{col 51}{space 3}0.316{col 59}{space 4}-2.239814{col 72}{space 3} .7237085
{txt}{space 12}1971  {c |}{col 19}{res}{space 2}-1.062486{col 31}{space 2} .7564563{col 42}{space 1}   -1.40{col 51}{space 3}0.160{col 59}{space 4} -2.54539{col 72}{space 3} .4204178
{txt}{space 12}1972  {c |}{col 19}{res}{space 2}-1.526287{col 31}{space 2} .7563751{col 42}{space 1}   -2.02{col 51}{space 3}0.044{col 59}{space 4}-3.009032{col 72}{space 3}-.0435428
{txt}{space 12}1973  {c |}{col 19}{res}{space 2}-1.354327{col 31}{space 2} .7572666{col 42}{space 1}   -1.79{col 51}{space 3}0.074{col 59}{space 4}-2.838819{col 72}{space 3} .1301657
{txt}{space 12}1974  {c |}{col 19}{res}{space 2}-1.284379{col 31}{space 2} .7578854{col 42}{space 1}   -1.69{col 51}{space 3}0.090{col 59}{space 4}-2.770084{col 72}{space 3} .2013265
{txt}{space 12}1975  {c |}{col 19}{res}{space 2}-1.190695{col 31}{space 2} .7582318{col 42}{space 1}   -1.57{col 51}{space 3}0.116{col 59}{space 4} -2.67708{col 72}{space 3} .2956888
{txt}{space 12}1976  {c |}{col 19}{res}{space 2} -1.42084{col 31}{space 2} .7599036{col 42}{space 1}   -1.87{col 51}{space 3}0.062{col 59}{space 4}-2.910502{col 72}{space 3} .0688213
{txt}{space 12}1977  {c |}{col 19}{res}{space 2}-1.472385{col 31}{space 2} .7600638{col 42}{space 1}   -1.94{col 51}{space 3}0.053{col 59}{space 4}-2.962361{col 72}{space 3} .0175902
{txt}{space 12}1978  {c |}{col 19}{res}{space 2} -1.09777{col 31}{space 2} .7609757{col 42}{space 1}   -1.44{col 51}{space 3}0.149{col 59}{space 4}-2.589533{col 72}{space 3} .3939935
{txt}{space 12}1979  {c |}{col 19}{res}{space 2}-.7217047{col 31}{space 2} .7657728{col 42}{space 1}   -0.94{col 51}{space 3}0.346{col 59}{space 4}-2.222872{col 72}{space 3} .7794626
{txt}{space 12}1980  {c |}{col 19}{res}{space 2}-.6635295{col 31}{space 2} .7639097{col 42}{space 1}   -0.87{col 51}{space 3}0.385{col 59}{space 4}-2.161044{col 72}{space 3} .8339855
{txt}{space 12}1981  {c |}{col 19}{res}{space 2}-.5006497{col 31}{space 2} .7645896{col 42}{space 1}   -0.65{col 51}{space 3}0.513{col 59}{space 4}-1.999497{col 72}{space 3} .9981981
{txt}{space 12}1982  {c |}{col 19}{res}{space 2}-.4568924{col 31}{space 2} .7637631{col 42}{space 1}   -0.60{col 51}{space 3}0.550{col 59}{space 4} -1.95412{col 72}{space 3} 1.040335
{txt}{space 12}1983  {c |}{col 19}{res}{space 2}-.1697579{col 31}{space 2}  .764261{col 42}{space 1}   -0.22{col 51}{space 3}0.824{col 59}{space 4}-1.667961{col 72}{space 3} 1.328446
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.0654387{col 31}{space 2} .7638601{col 42}{space 1}   -0.09{col 51}{space 3}0.932{col 59}{space 4}-1.562856{col 72}{space 3} 1.431979
{txt}{space 12}1985  {c |}{col 19}{res}{space 2} .2830165{col 31}{space 2} .7644812{col 42}{space 1}    0.37{col 51}{space 3}0.711{col 59}{space 4}-1.215619{col 72}{space 3} 1.781652
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .5271853{col 31}{space 2} .7655638{col 42}{space 1}    0.69{col 51}{space 3}0.491{col 59}{space 4}-.9735723{col 72}{space 3} 2.027943
{txt}{space 12}1987  {c |}{col 19}{res}{space 2} .6707108{col 31}{space 2} .7658365{col 42}{space 1}    0.88{col 51}{space 3}0.381{col 59}{space 4}-.8305814{col 72}{space 3} 2.172003
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.092076{col 31}{space 2} .7662866{col 42}{space 1}    1.43{col 51}{space 3}0.154{col 59}{space 4}-.4100988{col 72}{space 3}  2.59425
{txt}{space 12}1989  {c |}{col 19}{res}{space 2} 1.743335{col 31}{space 2} .7632876{col 42}{space 1}    2.28{col 51}{space 3}0.022{col 59}{space 4} .2470395{col 72}{space 3}  3.23963
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 2.497862{col 31}{space 2}  .765216{col 42}{space 1}    3.26{col 51}{space 3}0.001{col 59}{space 4} .9977859{col 72}{space 3} 3.997937
{txt}{space 12}1991  {c |}{col 19}{res}{space 2} 3.000025{col 31}{space 2} .7635188{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} 1.503276{col 72}{space 3} 4.496773
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} 3.434313{col 31}{space 2} .7629093{col 42}{space 1}    4.50{col 51}{space 3}0.000{col 59}{space 4} 1.938759{col 72}{space 3} 4.929867
{txt}{space 12}1993  {c |}{col 19}{res}{space 2} 3.708359{col 31}{space 2} .7628907{col 42}{space 1}    4.86{col 51}{space 3}0.000{col 59}{space 4} 2.212842{col 72}{space 3} 5.203876
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} 3.986449{col 31}{space 2} .7625902{col 42}{space 1}    5.23{col 51}{space 3}0.000{col 59}{space 4} 2.491521{col 72}{space 3} 5.481378
{txt}{space 12}1995  {c |}{col 19}{res}{space 2}  4.01999{col 31}{space 2} .7646742{col 42}{space 1}    5.26{col 51}{space 3}0.000{col 59}{space 4} 2.520976{col 72}{space 3} 5.519004
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} 4.026749{col 31}{space 2} .7658159{col 42}{space 1}    5.26{col 51}{space 3}0.000{col 59}{space 4} 2.525497{col 72}{space 3} 5.528001
{txt}{space 12}1997  {c |}{col 19}{res}{space 2} 4.159715{col 31}{space 2} .7679432{col 42}{space 1}    5.42{col 51}{space 3}0.000{col 59}{space 4} 2.654293{col 72}{space 3} 5.665137
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 4.308792{col 31}{space 2} .7677272{col 42}{space 1}    5.61{col 51}{space 3}0.000{col 59}{space 4} 2.803794{col 72}{space 3} 5.813791
{txt}{space 12}1999  {c |}{col 19}{res}{space 2} 4.442525{col 31}{space 2} .7696347{col 42}{space 1}    5.77{col 51}{space 3}0.000{col 59}{space 4} 2.933787{col 72}{space 3} 5.951263
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}  4.60584{col 31}{space 2} .7715214{col 42}{space 1}    5.97{col 51}{space 3}0.000{col 59}{space 4} 3.093404{col 72}{space 3} 6.118277
{txt}{space 12}2001  {c |}{col 19}{res}{space 2} 4.769706{col 31}{space 2} .7740932{col 42}{space 1}    6.16{col 51}{space 3}0.000{col 59}{space 4} 3.252228{col 72}{space 3} 6.287184
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} 4.724519{col 31}{space 2} .7762741{col 42}{space 1}    6.09{col 51}{space 3}0.000{col 59}{space 4} 3.202766{col 72}{space 3} 6.246273
{txt}{space 12}2003  {c |}{col 19}{res}{space 2} 4.816872{col 31}{space 2} .7773927{col 42}{space 1}    6.20{col 51}{space 3}0.000{col 59}{space 4} 3.292926{col 72}{space 3} 6.340819
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} 4.891217{col 31}{space 2} .7802224{col 42}{space 1}    6.27{col 51}{space 3}0.000{col 59}{space 4} 3.361724{col 72}{space 3}  6.42071
{txt}{space 12}2005  {c |}{col 19}{res}{space 2} 5.021239{col 31}{space 2} .7829323{col 42}{space 1}    6.41{col 51}{space 3}0.000{col 59}{space 4} 3.486434{col 72}{space 3} 6.556045
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}   5.0573{col 31}{space 2} .7851744{col 42}{space 1}    6.44{col 51}{space 3}0.000{col 59}{space 4}   3.5181{col 72}{space 3} 6.596501
{txt}{space 12}2007  {c |}{col 19}{res}{space 2} 4.985761{col 31}{space 2} .7859073{col 42}{space 1}    6.34{col 51}{space 3}0.000{col 59}{space 4} 3.445123{col 72}{space 3} 6.526398
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} 5.133146{col 31}{space 2} .7871673{col 42}{space 1}    6.52{col 51}{space 3}0.000{col 59}{space 4} 3.590038{col 72}{space 3} 6.676253
{txt}{space 12}2009  {c |}{col 19}{res}{space 2} 5.154823{col 31}{space 2}   .78655{col 42}{space 1}    6.55{col 51}{space 3}0.000{col 59}{space 4} 3.612926{col 72}{space 3}  6.69672
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} 5.177951{col 31}{space 2} .7879864{col 42}{space 1}    6.57{col 51}{space 3}0.000{col 59}{space 4} 3.633238{col 72}{space 3} 6.722664
{txt}{space 12}2011  {c |}{col 19}{res}{space 2} 5.463157{col 31}{space 2} .7891194{col 42}{space 1}    6.92{col 51}{space 3}0.000{col 59}{space 4} 3.916223{col 72}{space 3} 7.010091
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}  5.43883{col 31}{space 2} .7912361{col 42}{space 1}    6.87{col 51}{space 3}0.000{col 59}{space 4} 3.887746{col 72}{space 3} 6.989914
{txt}{space 12}2013  {c |}{col 19}{res}{space 2} 5.605821{col 31}{space 2} .7919184{col 42}{space 1}    7.08{col 51}{space 3}0.000{col 59}{space 4}   4.0534{col 72}{space 3} 7.158243
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} 5.377462{col 31}{space 2}  .793057{col 42}{space 1}    6.78{col 51}{space 3}0.000{col 59}{space 4} 3.822808{col 72}{space 3} 6.932115
{txt}{space 12}2015  {c |}{col 19}{res}{space 2} 5.468534{col 31}{space 2} .7920383{col 42}{space 1}    6.90{col 51}{space 3}0.000{col 59}{space 4} 3.915877{col 72}{space 3}  7.02119
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} 5.383724{col 31}{space 2} .7926657{col 42}{space 1}    6.79{col 51}{space 3}0.000{col 59}{space 4} 3.829838{col 72}{space 3} 6.937611
{txt}{space 12}2017  {c |}{col 19}{res}{space 2} 5.342197{col 31}{space 2} .7938881{col 42}{space 1}    6.73{col 51}{space 3}0.000{col 59}{space 4} 3.785915{col 72}{space 3}  6.89848
{txt}{space 12}2018  {c |}{col 19}{res}{space 2} 5.333432{col 31}{space 2} .7933372{col 42}{space 1}    6.72{col 51}{space 3}0.000{col 59}{space 4} 3.778229{col 72}{space 3} 6.888634
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-3.030042{col 31}{space 2} 1.341047{col 42}{space 1}   -2.26{col 51}{space 3}0.024{col 59}{space 4}-5.658936{col 72}{space 3}-.4011477
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res}  4.937332
          {txt}sigma_e {c |} {res} 4.0417814
              {txt}rho {c |} {res} .59875473{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6486{txt}) = {res}68.11{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe2

. 
. 
. 
. 
. 
. xtreg polity i.Asia##i.edu_did_70 ln_gdp if word_war==1  , fe
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1641{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.4305{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.3171{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}3{txt},{res}6558{txt}){col 67}={col 70}{res}   429.02
{txt}corr(u_i, Xb){col 16}= {res}0.0319{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         polity{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Asia {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 3}1.edu_did_70 {c |}{col 17}{res}{space 2} 3.396383{col 29}{space 2} .1949357{col 40}{space 1}   17.42{col 49}{space 3}0.000{col 57}{space 4} 3.014246{col 70}{space 3} 3.778521
{txt}{space 15} {c |}
Asia#edu_did_70 {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2}-2.345221{col 29}{space 2} .4346684{col 40}{space 1}   -5.40{col 49}{space 3}0.000{col 57}{space 4}-3.197313{col 70}{space 3} -1.49313
{txt}{space 15} {c |}
{space 9}ln_gdp {c |}{col 17}{res}{space 2} 2.623785{col 29}{space 2} .1075989{col 40}{space 1}   24.38{col 49}{space 3}0.000{col 57}{space 4} 2.412856{col 70}{space 3} 2.834714
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-22.80997{col 29}{space 2} .9011657{col 40}{space 1}  -25.31{col 49}{space 3}0.000{col 57}{space 4}-24.57655{col 70}{space 3} -21.0434
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        sigma_u {c |} {res} 4.1789586
        {txt}sigma_e {c |} {res} 4.4360461
            {txt}rho {c |} {res} .47018472{txt}   (fraction of variance due to u_i)
{hline 16}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6558{txt}) = {res}55.65{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia1

. 
. 
. 
. 
. 
. xtreg polity i.Asia##i.edu_did_70 ln_gdp i.year if word_war==1  , fe
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3103{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.1799{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.1983{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}75{txt},{res}6486{txt}){col 67}={col 70}{res}    38.90
{txt}corr(u_i, Xb){col 16}= {res}0.0874{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         polity{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Asia {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 3}1.edu_did_70 {c |}{col 17}{res}{space 2} 1.089283{col 29}{space 2} .2047149{col 40}{space 1}    5.32{col 49}{space 3}0.000{col 57}{space 4} .6879743{col 70}{space 3} 1.490592
{txt}{space 15} {c |}
Asia#edu_did_70 {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2}-1.746397{col 29}{space 2} .4021411{col 40}{space 1}   -4.34{col 49}{space 3}0.000{col 57}{space 4}-2.534726{col 70}{space 3}-.9580675
{txt}{space 15} {c |}
{space 9}ln_gdp {c |}{col 17}{res}{space 2} .3051331{col 29}{space 2} .1544272{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0024048{col 70}{space 3} .6078614
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1947  {c |}{col 17}{res}{space 2}-.0145546{col 29}{space 2} .8738605{col 40}{space 1}   -0.02{col 49}{space 3}0.987{col 57}{space 4}-1.727609{col 70}{space 3}   1.6985
{txt}{space 10}1948  {c |}{col 17}{res}{space 2}-.5548733{col 29}{space 2} .8555867{col 40}{space 1}   -0.65{col 49}{space 3}0.517{col 57}{space 4}-2.232106{col 70}{space 3} 1.122359
{txt}{space 10}1949  {c |}{col 17}{res}{space 2}-.3053917{col 29}{space 2} .8474679{col 40}{space 1}   -0.36{col 49}{space 3}0.719{col 57}{space 4}-1.966708{col 70}{space 3} 1.355925
{txt}{space 10}1950  {c |}{col 17}{res}{space 2}-.1290013{col 29}{space 2} .7986053{col 40}{space 1}   -0.16{col 49}{space 3}0.872{col 57}{space 4}-1.694531{col 70}{space 3} 1.436528
{txt}{space 10}1951  {c |}{col 17}{res}{space 2} .0723994{col 29}{space 2} .7939076{col 40}{space 1}    0.09{col 49}{space 3}0.927{col 57}{space 4}-1.483921{col 70}{space 3}  1.62872
{txt}{space 10}1952  {c |}{col 17}{res}{space 2} .1430161{col 29}{space 2} .7896729{col 40}{space 1}    0.18{col 49}{space 3}0.856{col 57}{space 4}-1.405003{col 70}{space 3} 1.691035
{txt}{space 10}1953  {c |}{col 17}{res}{space 2} .0193801{col 29}{space 2} .7878923{col 40}{space 1}    0.02{col 49}{space 3}0.980{col 57}{space 4}-1.525149{col 70}{space 3} 1.563909
{txt}{space 10}1954  {c |}{col 17}{res}{space 2}-.1870823{col 29}{space 2} .7880581{col 40}{space 1}   -0.24{col 49}{space 3}0.812{col 57}{space 4}-1.731936{col 70}{space 3} 1.357772
{txt}{space 10}1955  {c |}{col 17}{res}{space 2}-.1871981{col 29}{space 2} .7888836{col 40}{space 1}   -0.24{col 49}{space 3}0.812{col 57}{space 4} -1.73367{col 70}{space 3} 1.359274
{txt}{space 10}1956  {c |}{col 17}{res}{space 2} .5919426{col 29}{space 2} .7851593{col 40}{space 1}    0.75{col 49}{space 3}0.451{col 57}{space 4}-.9472285{col 70}{space 3} 2.131114
{txt}{space 10}1957  {c |}{col 17}{res}{space 2} .5952419{col 29}{space 2} .7815379{col 40}{space 1}    0.76{col 49}{space 3}0.446{col 57}{space 4}-.9368302{col 70}{space 3} 2.127314
{txt}{space 10}1958  {c |}{col 17}{res}{space 2}-.0010698{col 29}{space 2} .7836385{col 40}{space 1}   -0.00{col 49}{space 3}0.999{col 57}{space 4} -1.53726{col 70}{space 3}  1.53512
{txt}{space 10}1959  {c |}{col 17}{res}{space 2} .1902368{col 29}{space 2}  .782066{col 40}{space 1}    0.24{col 49}{space 3}0.808{col 57}{space 4} -1.34287{col 70}{space 3} 1.723344
{txt}{space 10}1960  {c |}{col 17}{res}{space 2} .5528734{col 29}{space 2} .7663491{col 40}{space 1}    0.72{col 49}{space 3}0.471{col 57}{space 4}-.9494236{col 70}{space 3}  2.05517
{txt}{space 10}1961  {c |}{col 17}{res}{space 2} .4586723{col 29}{space 2} .7638376{col 40}{space 1}    0.60{col 49}{space 3}0.548{col 57}{space 4}-1.038701{col 70}{space 3} 1.956046
{txt}{space 10}1962  {c |}{col 17}{res}{space 2} .3810288{col 29}{space 2} .7601955{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-1.109205{col 70}{space 3} 1.871263
{txt}{space 10}1963  {c |}{col 17}{res}{space 2} .4631915{col 29}{space 2} .7583923{col 40}{space 1}    0.61{col 49}{space 3}0.541{col 57}{space 4}-1.023507{col 70}{space 3} 1.949891
{txt}{space 10}1964  {c |}{col 17}{res}{space 2} .2015397{col 29}{space 2} .7565984{col 40}{space 1}    0.27{col 49}{space 3}0.790{col 57}{space 4}-1.281643{col 70}{space 3} 1.684722
{txt}{space 10}1965  {c |}{col 17}{res}{space 2}  .112061{col 29}{space 2} .7563448{col 40}{space 1}    0.15{col 49}{space 3}0.882{col 57}{space 4}-1.370624{col 70}{space 3} 1.594746
{txt}{space 10}1966  {c |}{col 17}{res}{space 2} -.072655{col 29}{space 2} .7556634{col 40}{space 1}   -0.10{col 49}{space 3}0.923{col 57}{space 4}-1.554004{col 70}{space 3} 1.408694
{txt}{space 10}1967  {c |}{col 17}{res}{space 2}-.3417807{col 29}{space 2} .7561048{col 40}{space 1}   -0.45{col 49}{space 3}0.651{col 57}{space 4}-1.823995{col 70}{space 3} 1.140434
{txt}{space 10}1968  {c |}{col 17}{res}{space 2}-.3584573{col 29}{space 2} .7555928{col 40}{space 1}   -0.47{col 49}{space 3}0.635{col 57}{space 4}-1.839668{col 70}{space 3} 1.122754
{txt}{space 10}1969  {c |}{col 17}{res}{space 2}-.5672828{col 29}{space 2} .7564614{col 40}{space 1}   -0.75{col 49}{space 3}0.453{col 57}{space 4}-2.050197{col 70}{space 3} .9156311
{txt}{space 10}1970  {c |}{col 17}{res}{space 2}-.6858298{col 29}{space 2} .7583538{col 40}{space 1}   -0.90{col 49}{space 3}0.366{col 57}{space 4}-2.172453{col 70}{space 3} .8007937
{txt}{space 10}1971  {c |}{col 17}{res}{space 2}-.9953074{col 29}{space 2} .7589994{col 40}{space 1}   -1.31{col 49}{space 3}0.190{col 57}{space 4}-2.483196{col 70}{space 3} .4925817
{txt}{space 10}1972  {c |}{col 17}{res}{space 2}-1.473475{col 29}{space 2} .7591199{col 40}{space 1}   -1.94{col 49}{space 3}0.052{col 57}{space 4}  -2.9616{col 70}{space 3} .0146508
{txt}{space 10}1973  {c |}{col 17}{res}{space 2}-1.308591{col 29}{space 2} .7601029{col 40}{space 1}   -1.72{col 49}{space 3}0.085{col 57}{space 4}-2.798644{col 70}{space 3}  .181461
{txt}{space 10}1974  {c |}{col 17}{res}{space 2}-1.243403{col 29}{space 2} .7607835{col 40}{space 1}   -1.63{col 49}{space 3}0.102{col 57}{space 4} -2.73479{col 70}{space 3} .2479834
{txt}{space 10}1975  {c |}{col 17}{res}{space 2}-1.163291{col 29}{space 2} .7612101{col 40}{space 1}   -1.53{col 49}{space 3}0.127{col 57}{space 4}-2.655514{col 70}{space 3} .3289316
{txt}{space 10}1976  {c |}{col 17}{res}{space 2}-1.405576{col 29}{space 2} .7630381{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4}-2.901383{col 70}{space 3} .0902302
{txt}{space 10}1977  {c |}{col 17}{res}{space 2}-1.458248{col 29}{space 2} .7632129{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4}-2.954397{col 70}{space 3} .0379013
{txt}{space 10}1978  {c |}{col 17}{res}{space 2}-1.089934{col 29}{space 2} .7642068{col 40}{space 1}   -1.43{col 49}{space 3}0.154{col 57}{space 4}-2.588031{col 70}{space 3} .4081637
{txt}{space 10}1979  {c |}{col 17}{res}{space 2}-.7172395{col 29}{space 2} .7690157{col 40}{space 1}   -0.93{col 49}{space 3}0.351{col 57}{space 4}-2.224764{col 70}{space 3} .7902849
{txt}{space 10}1980  {c |}{col 17}{res}{space 2}-.6576995{col 29}{space 2} .7670727{col 40}{space 1}   -0.86{col 49}{space 3}0.391{col 57}{space 4}-2.161415{col 70}{space 3} .8460161
{txt}{space 10}1981  {c |}{col 17}{res}{space 2}-.4992606{col 29}{space 2} .7678088{col 40}{space 1}   -0.65{col 49}{space 3}0.516{col 57}{space 4}-2.004419{col 70}{space 3} 1.005898
{txt}{space 10}1982  {c |}{col 17}{res}{space 2}-.4500932{col 29}{space 2} .7669139{col 40}{space 1}   -0.59{col 49}{space 3}0.557{col 57}{space 4}-1.953497{col 70}{space 3} 1.053311
{txt}{space 10}1983  {c |}{col 17}{res}{space 2}-.1662331{col 29}{space 2} .7674531{col 40}{space 1}   -0.22{col 49}{space 3}0.829{col 57}{space 4}-1.670694{col 70}{space 3} 1.338228
{txt}{space 10}1984  {c |}{col 17}{res}{space 2}-.0592812{col 29}{space 2}  .767019{col 40}{space 1}   -0.08{col 49}{space 3}0.938{col 57}{space 4}-1.562891{col 70}{space 3} 1.444329
{txt}{space 10}1985  {c |}{col 17}{res}{space 2} .2955385{col 29}{space 2} .7674971{col 40}{space 1}    0.39{col 49}{space 3}0.700{col 57}{space 4}-1.209009{col 70}{space 3} 1.800086
{txt}{space 10}1986  {c |}{col 17}{res}{space 2} .5327222{col 29}{space 2} .7686651{col 40}{space 1}    0.69{col 49}{space 3}0.488{col 57}{space 4} -.974115{col 70}{space 3} 2.039559
{txt}{space 10}1987  {c |}{col 17}{res}{space 2} .6745207{col 29}{space 2}  .768959{col 40}{space 1}    0.88{col 49}{space 3}0.380{col 57}{space 4}-.8328926{col 70}{space 3} 2.181934
{txt}{space 10}1988  {c |}{col 17}{res}{space 2} 1.093062{col 29}{space 2}  .769444{col 40}{space 1}    1.42{col 49}{space 3}0.155{col 57}{space 4}-.4153021{col 70}{space 3} 2.601426
{txt}{space 10}1989  {c |}{col 17}{res}{space 2} 1.741671{col 29}{space 2} .7665153{col 40}{space 1}    2.27{col 49}{space 3}0.023{col 57}{space 4} .2390487{col 70}{space 3} 3.244294
{txt}{space 10}1990  {c |}{col 17}{res}{space 2} 2.498615{col 29}{space 2} .7683529{col 40}{space 1}    3.25{col 49}{space 3}0.001{col 57}{space 4} .9923904{col 70}{space 3}  4.00484
{txt}{space 10}1991  {c |}{col 17}{res}{space 2} 3.003493{col 29}{space 2} .7666235{col 40}{space 1}    3.92{col 49}{space 3}0.000{col 57}{space 4} 1.500658{col 70}{space 3} 4.506328
{txt}{space 10}1992  {c |}{col 17}{res}{space 2} 3.435026{col 29}{space 2} .7660459{col 40}{space 1}    4.48{col 49}{space 3}0.000{col 57}{space 4} 1.933323{col 70}{space 3} 4.936728
{txt}{space 10}1993  {c |}{col 17}{res}{space 2} 3.702826{col 29}{space 2} .7661023{col 40}{space 1}    4.83{col 49}{space 3}0.000{col 57}{space 4} 2.201013{col 70}{space 3}  5.20464
{txt}{space 10}1994  {c |}{col 17}{res}{space 2} 3.982768{col 29}{space 2}  .765779{col 40}{space 1}    5.20{col 49}{space 3}0.000{col 57}{space 4} 2.481589{col 70}{space 3} 5.483947
{txt}{space 10}1995  {c |}{col 17}{res}{space 2} 4.006721{col 29}{space 2} .7679276{col 40}{space 1}    5.22{col 49}{space 3}0.000{col 57}{space 4}  2.50133{col 70}{space 3} 5.512112
{txt}{space 10}1996  {c |}{col 17}{res}{space 2} 4.006735{col 29}{space 2} .7691521{col 40}{space 1}    5.21{col 49}{space 3}0.000{col 57}{space 4} 2.498943{col 70}{space 3} 5.514527
{txt}{space 10}1997  {c |}{col 17}{res}{space 2} 4.127578{col 29}{space 2} .7714298{col 40}{space 1}    5.35{col 49}{space 3}0.000{col 57}{space 4} 2.615321{col 70}{space 3} 5.639835
{txt}{space 10}1998  {c |}{col 17}{res}{space 2} 4.277861{col 29}{space 2} .7711988{col 40}{space 1}    5.55{col 49}{space 3}0.000{col 57}{space 4} 2.766057{col 70}{space 3} 5.789665
{txt}{space 10}1999  {c |}{col 17}{res}{space 2} 4.401117{col 29}{space 2} .7732377{col 40}{space 1}    5.69{col 49}{space 3}0.000{col 57}{space 4} 2.885316{col 70}{space 3} 5.916918
{txt}{space 10}2000  {c |}{col 17}{res}{space 2} 4.550192{col 29}{space 2} .7752561{col 40}{space 1}    5.87{col 49}{space 3}0.000{col 57}{space 4} 3.030434{col 70}{space 3}  6.06995
{txt}{space 10}2001  {c |}{col 17}{res}{space 2} 4.707617{col 29}{space 2} .7778979{col 40}{space 1}    6.05{col 49}{space 3}0.000{col 57}{space 4} 3.182681{col 70}{space 3} 6.232554
{txt}{space 10}2002  {c |}{col 17}{res}{space 2} 4.651297{col 29}{space 2}   .78022{col 40}{space 1}    5.96{col 49}{space 3}0.000{col 57}{space 4} 3.121809{col 70}{space 3} 6.180786
{txt}{space 10}2003  {c |}{col 17}{res}{space 2}  4.74492{col 29}{space 2} .7813172{col 40}{space 1}    6.07{col 49}{space 3}0.000{col 57}{space 4} 3.213281{col 70}{space 3}  6.27656
{txt}{space 10}2004  {c |}{col 17}{res}{space 2} 4.805389{col 29}{space 2}  .784324{col 40}{space 1}    6.13{col 49}{space 3}0.000{col 57}{space 4} 3.267855{col 70}{space 3} 6.342923
{txt}{space 10}2005  {c |}{col 17}{res}{space 2}  4.91469{col 29}{space 2} .7872546{col 40}{space 1}    6.24{col 49}{space 3}0.000{col 57}{space 4} 3.371411{col 70}{space 3} 6.457969
{txt}{space 10}2006  {c |}{col 17}{res}{space 2} 4.935882{col 29}{space 2} .7896908{col 40}{space 1}    6.25{col 49}{space 3}0.000{col 57}{space 4} 3.387828{col 70}{space 3} 6.483937
{txt}{space 10}2007  {c |}{col 17}{res}{space 2} 4.861037{col 29}{space 2} .7904671{col 40}{space 1}    6.15{col 49}{space 3}0.000{col 57}{space 4}  3.31146{col 70}{space 3} 6.410613
{txt}{space 10}2008  {c |}{col 17}{res}{space 2} 5.002808{col 29}{space 2}  .791801{col 40}{space 1}    6.32{col 49}{space 3}0.000{col 57}{space 4} 3.450617{col 70}{space 3} 6.554999
{txt}{space 10}2009  {c |}{col 17}{res}{space 2}  5.02345{col 29}{space 2} .7911994{col 40}{space 1}    6.35{col 49}{space 3}0.000{col 57}{space 4} 3.472438{col 70}{space 3} 6.574462
{txt}{space 10}2010  {c |}{col 17}{res}{space 2} 5.034475{col 29}{space 2} .7928135{col 40}{space 1}    6.35{col 49}{space 3}0.000{col 57}{space 4} 3.480299{col 70}{space 3} 6.588651
{txt}{space 10}2011  {c |}{col 17}{res}{space 2} 5.310772{col 29}{space 2} .7940704{col 40}{space 1}    6.69{col 49}{space 3}0.000{col 57}{space 4} 3.754132{col 70}{space 3} 6.867411
{txt}{space 10}2012  {c |}{col 17}{res}{space 2} 5.281513{col 29}{space 2} .7962494{col 40}{space 1}    6.63{col 49}{space 3}0.000{col 57}{space 4} 3.720601{col 70}{space 3} 6.842424
{txt}{space 10}2013  {c |}{col 17}{res}{space 2} 5.445659{col 29}{space 2} .7969703{col 40}{space 1}    6.83{col 49}{space 3}0.000{col 57}{space 4} 3.883334{col 70}{space 3} 7.007984
{txt}{space 10}2014  {c |}{col 17}{res}{space 2}  5.22465{col 29}{space 2} .7979043{col 40}{space 1}    6.55{col 49}{space 3}0.000{col 57}{space 4} 3.660495{col 70}{space 3} 6.788806
{txt}{space 10}2015  {c |}{col 17}{res}{space 2} 5.319937{col 29}{space 2} .7968303{col 40}{space 1}    6.68{col 49}{space 3}0.000{col 57}{space 4} 3.757887{col 70}{space 3} 6.881987
{txt}{space 10}2016  {c |}{col 17}{res}{space 2}  5.22844{col 29}{space 2} .7975506{col 40}{space 1}    6.56{col 49}{space 3}0.000{col 57}{space 4} 3.664978{col 70}{space 3} 6.791902
{txt}{space 10}2017  {c |}{col 17}{res}{space 2} 5.181951{col 29}{space 2} .7988386{col 40}{space 1}    6.49{col 49}{space 3}0.000{col 57}{space 4} 3.615964{col 70}{space 3} 6.747938
{txt}{space 10}2018  {c |}{col 17}{res}{space 2} 5.175414{col 29}{space 2} .7982582{col 40}{space 1}    6.48{col 49}{space 3}0.000{col 57}{space 4} 3.610565{col 70}{space 3} 6.740264
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.925554{col 29}{space 2}   1.3524{col 40}{space 1}   -2.16{col 49}{space 3}0.031{col 57}{space 4}-5.576703{col 70}{space 3} -.274404
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        sigma_u {c |} {res} 5.1982021
        {txt}sigma_e {c |} {res} 4.0517806
            {txt}rho {c |} {res} .62206274{txt}   (fraction of variance due to u_i)
{hline 16}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6486{txt}) = {res}69.52{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store Asia2

. 
. 
. 
. 
. 
. 
. 
. coefplot (europe1) (Asia1) || (europe2) (Asia2), omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep(1.Europe#1.edu_did_70 || 1.Asia#1.edu_did_70)
{res}
{com}. #Europe Asia Latin Africa linear
{err}Unknown #command

{com}. xtreg polity i.Europe##c.pri ln_gdp, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2859{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3370{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.3259{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}3{txt},{res}1821{txt}){col 67}={col 70}{res}   243.06
{txt}corr(u_i, Xb){col 16}= {res}-0.0492{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0289622{col 26}{space 2} .0061117{col 37}{space 1}    4.74{col 46}{space 3}0.000{col 54}{space 4} .0169756{col 67}{space 3} .0409489
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0273173{col 26}{space 2}  .009949{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0078047{col 67}{space 3} .0468299
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.910313{col 26}{space 2} .1874707{col 37}{space 1}   15.52{col 46}{space 3}0.000{col 54}{space 4} 2.542633{col 67}{space 3} 3.277993
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.79047{col 26}{space 2} 1.333212{col 37}{space 1}  -19.34{col 46}{space 3}0.000{col 54}{space 4}-28.40526{col 67}{space 3}-23.17569
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.0684305
     {txt}sigma_e {c |} {res} 4.5711667
         {txt}rho {c |} {res}  .4420066{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1821{txt}) = {res}11.75{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe1

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2854{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2869{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.3216{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}3{txt},{res}1821{txt}){col 67}={col 70}{res}   242.43
{txt}corr(u_i, Xb){col 16}= {res}-0.0021{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0395101{col 26}{space 2} .0060158{col 37}{space 1}    6.57{col 46}{space 3}0.000{col 54}{space 4} .0277115{col 67}{space 3} .0513087
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0322971{col 26}{space 2} .0129803{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4} -.057755{col 67}{space 3}-.0068392
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.967461{col 26}{space 2} .1856175{col 37}{space 1}   15.99{col 46}{space 3}0.000{col 54}{space 4} 2.603415{col 67}{space 3} 3.331506
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.98629{col 26}{space 2} 1.329812{col 37}{space 1}  -19.54{col 46}{space 3}0.000{col 54}{space 4}-28.59441{col 67}{space 3}-23.37818
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.2225229
     {txt}sigma_e {c |} {res} 4.5728527
         {txt}rho {c |} {res} .46023195{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1821{txt}) = {res}11.80{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia2

. 
. 
. 
. xtreg polity i.Latin##c.pri ln_gdp, fe i(country_1)
{p 0 6 2}{txt}note: 1.Latin omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2849{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3029{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.3259{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}3{txt},{res}1821{txt}){col 67}={col 70}{res}   241.80
{txt}corr(u_i, Xb){col 16}= {res}0.0034{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.Latin {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0425746{col 26}{space 2} .0067098{col 37}{space 1}    6.35{col 46}{space 3}0.000{col 54}{space 4} .0294148{col 67}{space 3} .0557344
{txt}{space 12} {c |}
{space 1}Latin#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0197384{col 26}{space 2} .0089868{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.0373639{col 67}{space 3}-.0021129
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.986836{col 26}{space 2} .1855226{col 37}{space 1}   16.10{col 46}{space 3}0.000{col 54}{space 4} 2.622976{col 67}{space 3} 3.350695
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-26.35989{col 26}{space 2} 1.335093{col 37}{space 1}  -19.74{col 46}{space 3}0.000{col 54}{space 4}-28.97836{col 67}{space 3}-23.74141
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.1597437
     {txt}sigma_e {c |} {res} 4.5745641
         {txt}rho {c |} {res} .45261367{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1821{txt}) = {res}11.78{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store latin3

. 
. 
. 
. xtreg polity i.Africa##c.pri ln_gdp, fe i(country_1)
{p 0 6 2}{txt}note: 1.Africa omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2923{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1970{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.2857{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}3{txt},{res}1821{txt}){col 67}={col 70}{res}   250.68
{txt}corr(u_i, Xb){col 16}= {res}-0.0116{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Africa {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0242602{col 26}{space 2} .0060933{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} .0123097{col 67}{space 3} .0362107
{txt}{space 12} {c |}
Africa#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0793618{col 26}{space 2} .0162214{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .0475474{col 67}{space 3} .1111762
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 3.191087{col 26}{space 2} .1892199{col 37}{space 1}   16.86{col 46}{space 3}0.000{col 54}{space 4} 2.819976{col 67}{space 3} 3.562198
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-27.62725{col 26}{space 2} 1.359308{col 37}{space 1}  -20.32{col 46}{space 3}0.000{col 54}{space 4}-30.29322{col 67}{space 3}-24.96129
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  4.497186
     {txt}sigma_e {c |} {res} 4.5508084
         {txt}rho {c |} {res} .49407377{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1821{txt}) = {res}12.05{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store africa4

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp i.year, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3687{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2024{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.2809{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}41{txt},{res}1783{txt}){col 67}={col 70}{res}    25.39
{txt}corr(u_i, Xb){col 16}= {res}0.0395{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}-.0042268{col 26}{space 2} .0071997{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0183475{col 67}{space 3}  .009894
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0270628{col 26}{space 2} .0102424{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0069744{col 67}{space 3} .0471512
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}  1.45531{col 26}{space 2} .3420696{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .7844107{col 67}{space 3}  2.12621
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2}-.6405533{col 26}{space 2} 1.714853{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-4.003887{col 67}{space 3}  2.72278
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} .3529039{col 26}{space 2} 1.576937{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-2.739936{col 67}{space 3} 3.445743
{txt}{space 7}1835  {c |}{col 14}{res}{space 2}-.5871001{col 26}{space 2} 1.580502{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-3.686931{col 67}{space 3} 2.512731
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} .3210475{col 26}{space 2} 1.544397{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4} -2.70797{col 67}{space 3} 3.350066
{txt}{space 7}1845  {c |}{col 14}{res}{space 2} .0737122{col 26}{space 2} 1.580549{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-3.026212{col 67}{space 3} 3.173636
{txt}{space 7}1850  {c |}{col 14}{res}{space 2} 1.772604{col 26}{space 2} 1.374931{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.9240411{col 67}{space 3} 4.469249
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} 1.136877{col 26}{space 2} 1.494949{col 37}{space 1}    0.76{col 46}{space 3}0.447{col 54}{space 4}-1.795159{col 67}{space 3} 4.068914
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.220154{col 26}{space 2} 1.399319{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4}-1.524323{col 67}{space 3} 3.964631
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 2.060643{col 26}{space 2} 1.453383{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.7898708{col 67}{space 3} 4.911157
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 2.852039{col 26}{space 2}  1.25363{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .3933005{col 67}{space 3} 5.310777
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 2.671897{col 26}{space 2} 1.359936{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} .0046617{col 67}{space 3} 5.339133
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 3.378401{col 26}{space 2}  1.35128{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .7281429{col 67}{space 3} 6.028659
{txt}{space 7}1885  {c |}{col 14}{res}{space 2} 3.294312{col 26}{space 2} 1.358209{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4}  .630462{col 67}{space 3} 5.958161
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 3.587443{col 26}{space 2} 1.308257{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} 1.021565{col 67}{space 3} 6.153321
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 3.511711{col 26}{space 2} 1.349655{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .8646398{col 67}{space 3} 6.158783
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.326916{col 26}{space 2} 1.328796{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} 1.720755{col 67}{space 3} 6.933077
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 4.462225{col 26}{space 2}  1.33435{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4}  1.84517{col 67}{space 3}  7.07928
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 4.861539{col 26}{space 2} 1.329224{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} 2.254539{col 67}{space 3}  7.46854
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 5.445606{col 26}{space 2} 1.354126{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} 2.789765{col 67}{space 3} 8.101446
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 6.044805{col 26}{space 2} 1.307466{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} 3.480478{col 67}{space 3} 8.609132
{txt}{space 7}1925  {c |}{col 14}{res}{space 2}  5.10664{col 26}{space 2} 1.312598{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} 2.532248{col 67}{space 3} 7.681033
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 5.021166{col 26}{space 2} 1.320282{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} 2.431702{col 67}{space 3} 7.610629
{txt}{space 7}1935  {c |}{col 14}{res}{space 2} 4.046644{col 26}{space 2}   1.3226{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} 1.452635{col 67}{space 3} 6.640653
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 3.173807{col 26}{space 2} 1.345908{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .5340843{col 67}{space 3}  5.81353
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 4.546492{col 26}{space 2} 1.342235{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} 1.913973{col 67}{space 3} 7.179011
{txt}{space 7}1950  {c |}{col 14}{res}{space 2} 5.384618{col 26}{space 2} 1.317863{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} 2.799899{col 67}{space 3} 7.969337
{txt}{space 7}1955  {c |}{col 14}{res}{space 2} 5.331081{col 26}{space 2} 1.333539{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} 2.715616{col 67}{space 3} 7.946545
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} 5.871492{col 26}{space 2} 1.340201{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} 3.242962{col 67}{space 3} 8.500022
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} 5.234448{col 26}{space 2} 1.368987{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} 2.549461{col 67}{space 3} 7.919436
{txt}{space 7}1970  {c |}{col 14}{res}{space 2} 4.355638{col 26}{space 2} 1.401726{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} 1.606439{col 67}{space 3} 7.104837
{txt}{space 7}1975  {c |}{col 14}{res}{space 2} 3.839114{col 26}{space 2} 1.432493{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} 1.029573{col 67}{space 3} 6.648656
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} 4.246296{col 26}{space 2} 1.465584{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} 1.371853{col 67}{space 3} 7.120739
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} 5.211451{col 26}{space 2} 1.471837{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} 2.324745{col 67}{space 3} 8.098157
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 7.395583{col 26}{space 2}  1.48302{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} 4.486942{col 67}{space 3} 10.30422
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 8.861166{col 26}{space 2} 1.500044{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4} 5.919136{col 67}{space 3}  11.8032
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 9.305348{col 26}{space 2} 1.548955{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} 6.267389{col 67}{space 3} 12.34331
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 9.534432{col 26}{space 2} 1.595399{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} 6.405384{col 67}{space 3} 12.66348
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 9.512049{col 26}{space 2} 1.632803{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} 6.309641{col 67}{space 3} 12.71446
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-16.66793{col 26}{space 2}  2.57876{col 37}{space 1}   -6.46{col 46}{space 3}0.000{col 54}{space 4}-21.72564{col 67}{space 3}-11.61022
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  4.449466
     {txt}sigma_e {c |} {res} 4.3437616
         {txt}rho {c |} {res} .51201937{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1783{txt}) = {res}12.86{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe5

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp i.year, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3690{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1046{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.2512{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}41{txt},{res}1783{txt}){col 67}={col 70}{res}    25.43
{txt}corr(u_i, Xb){col 16}= {res}-0.0091{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0061178{col 26}{space 2} .0071699{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0079445{col 67}{space 3} .0201801
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  -.03586{col 26}{space 2} .0126531{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.0606765{col 67}{space 3}-.0110435
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 1.559924{col 26}{space 2} .3398627{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .8933527{col 67}{space 3} 2.226495
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2}-.3128181{col 26}{space 2} 1.724318{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-3.694716{col 67}{space 3}  3.06908
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} .6302552{col 26}{space 2} 1.583081{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-2.474634{col 67}{space 3} 3.735145
{txt}{space 7}1835  {c |}{col 14}{res}{space 2}-.2574453{col 26}{space 2} 1.590552{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-3.376987{col 67}{space 3} 2.862097
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} .5824912{col 26}{space 2} 1.550438{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-2.458375{col 67}{space 3} 3.623358
{txt}{space 7}1845  {c |}{col 14}{res}{space 2} .4260097{col 26}{space 2}   1.5906{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-2.693626{col 67}{space 3} 3.545645
{txt}{space 7}1850  {c |}{col 14}{res}{space 2} 2.180433{col 26}{space 2} 1.381129{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.5283701{col 67}{space 3} 4.889236
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} 1.557615{col 26}{space 2} 1.505686{col 37}{space 1}    1.03{col 46}{space 3}0.301{col 54}{space 4}-1.395481{col 67}{space 3}  4.51071
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.806947{col 26}{space 2} 1.411296{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.9610217{col 67}{space 3} 4.574916
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 2.445478{col 26}{space 2} 1.463714{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.4252988{col 67}{space 3} 5.316254
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 3.262884{col 26}{space 2} 1.254283{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .8028646{col 67}{space 3} 5.722903
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 3.247987{col 26}{space 2} 1.369676{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4}  .561649{col 67}{space 3} 5.934325
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 3.977133{col 26}{space 2} 1.360572{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4}  1.30865{col 67}{space 3} 6.645616
{txt}{space 7}1885  {c |}{col 14}{res}{space 2}  3.89891{col 26}{space 2} 1.366423{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} 1.218951{col 67}{space 3}  6.57887
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 4.121362{col 26}{space 2} 1.310656{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} 1.550778{col 67}{space 3} 6.691945
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 4.159824{col 26}{space 2} 1.356891{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4}  1.49856{col 67}{space 3} 6.821088
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.925194{col 26}{space 2} 1.332589{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} 2.311592{col 67}{space 3} 7.538795
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 5.107312{col 26}{space 2} 1.339796{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} 2.479576{col 67}{space 3} 7.735047
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 5.535856{col 26}{space 2} 1.333646{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} 2.920182{col 67}{space 3}  8.15153
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 6.111245{col 26}{space 2} 1.358501{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} 3.446823{col 67}{space 3} 8.775667
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 6.723455{col 26}{space 2} 1.311705{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} 4.150815{col 67}{space 3} 9.296096
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 5.765885{col 26}{space 2} 1.316728{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} 3.183392{col 67}{space 3} 8.348378
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 5.676913{col 26}{space 2} 1.321756{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} 3.084558{col 67}{space 3} 8.269267
{txt}{space 7}1935  {c |}{col 14}{res}{space 2} 4.695547{col 26}{space 2} 1.322409{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} 2.101913{col 67}{space 3} 7.289181
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 3.835835{col 26}{space 2} 1.347539{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} 1.192914{col 67}{space 3} 6.478756
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 5.193797{col 26}{space 2} 1.343932{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} 2.557948{col 67}{space 3} 7.829645
{txt}{space 7}1950  {c |}{col 14}{res}{space 2} 5.962365{col 26}{space 2} 1.316243{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} 3.380824{col 67}{space 3} 8.543906
{txt}{space 7}1955  {c |}{col 14}{res}{space 2}  5.87403{col 26}{space 2} 1.333688{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} 3.258273{col 67}{space 3} 8.489787
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} 6.426024{col 26}{space 2} 1.340688{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} 3.796538{col 67}{space 3}  9.05551
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} 5.763413{col 26}{space 2} 1.370832{col 37}{space 1}    4.20{col 46}{space 3}0.000{col 54}{space 4} 3.074806{col 67}{space 3} 8.452019
{txt}{space 7}1970  {c |}{col 14}{res}{space 2} 4.869804{col 26}{space 2} 1.404035{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} 2.116076{col 67}{space 3} 7.623532
{txt}{space 7}1975  {c |}{col 14}{res}{space 2} 4.328985{col 26}{space 2} 1.435045{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} 1.514438{col 67}{space 3} 7.143531
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}  4.70791{col 26}{space 2} 1.468801{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} 1.827158{col 67}{space 3} 7.588662
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} 5.666108{col 26}{space 2} 1.475387{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} 2.772439{col 67}{space 3} 8.559777
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 7.849622{col 26}{space 2} 1.487083{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} 4.933014{col 67}{space 3} 10.76623
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 9.325991{col 26}{space 2} 1.504213{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} 6.375784{col 67}{space 3}  12.2762
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 9.723416{col 26}{space 2} 1.552917{col 37}{space 1}    6.26{col 46}{space 3}0.000{col 54}{space 4} 6.677687{col 67}{space 3} 12.76914
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 9.915179{col 26}{space 2} 1.599257{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} 6.778565{col 67}{space 3} 13.05179
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 9.864037{col 26}{space 2} 1.636482{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} 6.654413{col 67}{space 3} 13.07366
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-17.72745{col 26}{space 2} 2.572921{col 37}{space 1}   -6.89{col 46}{space 3}0.000{col 54}{space 4}-22.77371{col 67}{space 3}-12.68119
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.7109492
     {txt}sigma_e {c |} {res} 4.3424873
         {txt}rho {c |} {res} .54063126{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1783{txt}) = {res}12.86{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia6

. 
. 
. 
. xtreg polity i.Latin##c.pri ln_gdp i.year, fe i(country_1)
{p 0 6 2}{txt}note: 1.Latin omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3663{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1280{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.2489{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}41{txt},{res}1783{txt}){col 67}={col 70}{res}    25.14
{txt}corr(u_i, Xb){col 16}= {res}0.0123{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.Latin {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0029505{col 26}{space 2} .0078495{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.0124447{col 67}{space 3} .0183456
{txt}{space 12} {c |}
{space 1}Latin#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0049836{col 26}{space 2} .0089286{col 37}{space 1}   -0.56{col 46}{space 3}0.577{col 54}{space 4}-.0224952{col 67}{space 3} .0125279
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 1.546259{col 26}{space 2} .3410014{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .8774549{col 67}{space 3} 2.215064
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2}-.9726654{col 26}{space 2} 1.718171{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-4.342507{col 67}{space 3} 2.397176
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} .1171222{col 26}{space 2} 1.582737{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4}-2.987093{col 67}{space 3} 3.221337
{txt}{space 7}1835  {c |}{col 14}{res}{space 2}-.9108377{col 26}{space 2} 1.585101{col 37}{space 1}   -0.57{col 46}{space 3}0.566{col 54}{space 4} -4.01969{col 67}{space 3} 2.198014
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} .0698177{col 26}{space 2} 1.549769{col 37}{space 1}    0.05{col 46}{space 3}0.964{col 54}{space 4}-2.969737{col 67}{space 3} 3.109373
{txt}{space 7}1845  {c |}{col 14}{res}{space 2} -.213651{col 26}{space 2} 1.586947{col 37}{space 1}   -0.13{col 46}{space 3}0.893{col 54}{space 4}-3.326124{col 67}{space 3} 2.898822
{txt}{space 7}1850  {c |}{col 14}{res}{space 2} 1.696505{col 26}{space 2} 1.389243{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-1.028211{col 67}{space 3}  4.42122
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} .9373119{col 26}{space 2} 1.505354{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-2.015131{col 67}{space 3} 3.889755
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.158551{col 26}{space 2} 1.417194{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-1.620985{col 67}{space 3} 3.938087
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 1.839515{col 26}{space 2}  1.46261{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-1.029095{col 67}{space 3} 4.708125
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 2.951467{col 26}{space 2} 1.261474{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .4773432{col 67}{space 3} 5.425591
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 2.659586{col 26}{space 2} 1.375262{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0377094{col 67}{space 3} 5.356882
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 3.386783{col 26}{space 2} 1.368067{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .7035989{col 67}{space 3} 6.069966
{txt}{space 7}1885  {c |}{col 14}{res}{space 2} 3.326976{col 26}{space 2} 1.374176{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .6318098{col 67}{space 3} 6.022142
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 3.686502{col 26}{space 2} 1.322369{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} 1.092946{col 67}{space 3} 6.280058
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 3.586365{col 26}{space 2} 1.366439{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .9063739{col 67}{space 3} 6.266356
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.433388{col 26}{space 2} 1.343756{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} 1.797885{col 67}{space 3} 7.068891
{txt}{space 7}1905  {c |}{col 14}{res}{space 2}  4.56727{col 26}{space 2} 1.349982{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} 1.919556{col 67}{space 3} 7.214984
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 5.008715{col 26}{space 2}  1.34187{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} 2.376911{col 67}{space 3} 7.640518
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 5.584966{col 26}{space 2} 1.367274{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} 2.903338{col 67}{space 3} 8.266595
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 6.193975{col 26}{space 2} 1.321252{col 37}{space 1}    4.69{col 46}{space 3}0.000{col 54}{space 4} 3.602611{col 67}{space 3}  8.78534
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 5.257126{col 26}{space 2} 1.323734{col 37}{space 1}    3.97{col 46}{space 3}0.000{col 54}{space 4} 2.660893{col 67}{space 3} 7.853359
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 5.211268{col 26}{space 2} 1.329906{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} 2.602931{col 67}{space 3} 7.819606
{txt}{space 7}1935  {c |}{col 14}{res}{space 2}  4.25985{col 26}{space 2} 1.331216{col 37}{space 1}    3.20{col 46}{space 3}0.001{col 54}{space 4} 1.648943{col 67}{space 3} 6.870757
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 3.364124{col 26}{space 2} 1.355441{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .7057038{col 67}{space 3} 6.022545
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 4.731149{col 26}{space 2} 1.351334{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} 2.080784{col 67}{space 3} 7.381514
{txt}{space 7}1950  {c |}{col 14}{res}{space 2} 5.607359{col 26}{space 2} 1.322649{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} 3.013254{col 67}{space 3} 8.201464
{txt}{space 7}1955  {c |}{col 14}{res}{space 2}  5.51558{col 26}{space 2} 1.338092{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} 2.891186{col 67}{space 3} 8.139974
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} 6.060819{col 26}{space 2} 1.343953{col 37}{space 1}    4.51{col 46}{space 3}0.000{col 54}{space 4} 3.424929{col 67}{space 3} 8.696708
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} 5.388609{col 26}{space 2} 1.373037{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} 2.695679{col 67}{space 3} 8.081539
{txt}{space 7}1970  {c |}{col 14}{res}{space 2} 4.486526{col 26}{space 2} 1.406736{col 37}{space 1}    3.19{col 46}{space 3}0.001{col 54}{space 4} 1.727502{col 67}{space 3}  7.24555
{txt}{space 7}1975  {c |}{col 14}{res}{space 2} 3.943898{col 26}{space 2} 1.438555{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} 1.122467{col 67}{space 3} 6.765328
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} 4.313118{col 26}{space 2} 1.472474{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4}  1.42516{col 67}{space 3} 7.201075
{txt}{space 7}1985  {c |}{col 14}{res}{space 2}  5.26324{col 26}{space 2} 1.479115{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} 2.362258{col 67}{space 3} 8.164222
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 7.432163{col 26}{space 2} 1.490586{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} 4.508684{col 67}{space 3} 10.35564
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 8.899176{col 26}{space 2} 1.507911{col 37}{space 1}    5.90{col 46}{space 3}0.000{col 54}{space 4} 5.941717{col 67}{space 3} 11.85664
{txt}{space 7}2000  {c |}{col 14}{res}{space 2}  9.30648{col 26}{space 2} 1.557431{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} 6.251897{col 67}{space 3} 12.36106
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 9.499943{col 26}{space 2} 1.604504{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} 6.353037{col 67}{space 3} 12.64685
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 9.450946{col 26}{space 2} 1.642406{col 37}{space 1}    5.75{col 46}{space 3}0.000{col 54}{space 4} 6.229702{col 67}{space 3} 12.67219
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-17.18771{col 26}{space 2} 2.577775{col 37}{space 1}   -6.67{col 46}{space 3}0.000{col 54}{space 4}-22.24349{col 67}{space 3}-12.13193
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.6396524
     {txt}sigma_e {c |} {res} 4.3518772
         {txt}rho {c |} {res}  .5319724{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1783{txt}) = {res}12.74{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store latin7

. 
. 
. 
. xtreg polity i.Africa##c.pri ln_gdp i.year, fe i(country_1)
{p 0 6 2}{txt}note: 1.Africa omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,926
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3687{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0524{col 63}{txt}avg{col 67}={col 69}{res}      18.9
{txt}     overall = {res}0.2159{col 63}{txt}max{col 67}={col 69}{res}        39

{txt}{col 49}F({res}41{txt},{res}1783{txt}){col 67}={col 70}{res}    25.40
{txt}corr(u_i, Xb){col 16}= {res}-0.0646{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Africa {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}  -.00355{col 26}{space 2} .0071307{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.0175355{col 67}{space 3} .0104354
{txt}{space 12} {c |}
Africa#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0444871{col 26}{space 2} .0166741{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0117843{col 67}{space 3} .0771899
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 1.783547{col 26}{space 2} .3505212{col 37}{space 1}    5.09{col 46}{space 3}0.000{col 54}{space 4} 1.096072{col 67}{space 3} 2.471023
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1825  {c |}{col 14}{res}{space 2}-.8494653{col 26}{space 2} 1.711837{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-4.206882{col 67}{space 3} 2.507952
{txt}{space 7}1830  {c |}{col 14}{res}{space 2} .2353945{col 26}{space 2}  1.57567{col 37}{space 1}    0.15{col 46}{space 3}0.881{col 54}{space 4} -2.85496{col 67}{space 3} 3.325749
{txt}{space 7}1835  {c |}{col 14}{res}{space 2}-.7920195{col 26}{space 2} 1.577582{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-3.886124{col 67}{space 3} 2.302085
{txt}{space 7}1840  {c |}{col 14}{res}{space 2} .1748107{col 26}{space 2} 1.542776{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-2.851028{col 67}{space 3} 3.200649
{txt}{space 7}1845  {c |}{col 14}{res}{space 2}-.0807986{col 26}{space 2} 1.578576{col 37}{space 1}   -0.05{col 46}{space 3}0.959{col 54}{space 4}-3.176853{col 67}{space 3} 3.015255
{txt}{space 7}1850  {c |}{col 14}{res}{space 2} 1.832089{col 26}{space 2} 1.374908{col 37}{space 1}    1.33{col 46}{space 3}0.183{col 54}{space 4}-.8645127{col 67}{space 3}  4.52869
{txt}{space 7}1855  {c |}{col 14}{res}{space 2} 1.089399{col 26}{space 2} 1.494487{col 37}{space 1}    0.73{col 46}{space 3}0.466{col 54}{space 4}-1.841731{col 67}{space 3} 4.020529
{txt}{space 7}1860  {c |}{col 14}{res}{space 2} 1.330396{col 26}{space 2} 1.399266{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-1.413979{col 67}{space 3}  4.07477
{txt}{space 7}1865  {c |}{col 14}{res}{space 2} 1.983777{col 26}{space 2} 1.452564{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.8651298{col 67}{space 3} 4.832683
{txt}{space 7}1870  {c |}{col 14}{res}{space 2} 3.057003{col 26}{space 2} 1.251885{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .6016858{col 67}{space 3}  5.51232
{txt}{space 7}1875  {c |}{col 14}{res}{space 2} 2.831951{col 26}{space 2} 1.359644{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .1652882{col 67}{space 3} 5.498614
{txt}{space 7}1880  {c |}{col 14}{res}{space 2} 3.567627{col 26}{space 2} 1.350687{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .9185305{col 67}{space 3} 6.216724
{txt}{space 7}1885  {c |}{col 14}{res}{space 2} 3.507674{col 26}{space 2} 1.357315{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .8455788{col 67}{space 3}  6.16977
{txt}{space 7}1890  {c |}{col 14}{res}{space 2} 3.838532{col 26}{space 2} 1.305986{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} 1.277108{col 67}{space 3} 6.399956
{txt}{space 7}1895  {c |}{col 14}{res}{space 2} 3.758883{col 26}{space 2} 1.347809{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} 1.115432{col 67}{space 3} 6.402334
{txt}{space 7}1900  {c |}{col 14}{res}{space 2} 4.591268{col 26}{space 2} 1.326282{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} 1.990036{col 67}{space 3} 7.192499
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 4.728178{col 26}{space 2} 1.331817{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} 2.116091{col 67}{space 3} 7.340264
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 5.196638{col 26}{space 2} 1.326052{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4}  2.59586{col 67}{space 3} 7.797417
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 5.728463{col 26}{space 2} 1.350886{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} 3.078977{col 67}{space 3}  8.37795
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 6.332004{col 26}{space 2} 1.303741{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} 3.774983{col 67}{space 3} 8.889025
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 5.392403{col 26}{space 2} 1.309196{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} 2.824683{col 67}{space 3} 7.960122
{txt}{space 7}1930  {c |}{col 14}{res}{space 2} 5.340766{col 26}{space 2} 1.315769{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} 2.760154{col 67}{space 3} 7.921377
{txt}{space 7}1935  {c |}{col 14}{res}{space 2} 4.397241{col 26}{space 2} 1.317418{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} 1.813395{col 67}{space 3} 6.981088
{txt}{space 7}1940  {c |}{col 14}{res}{space 2} 3.481522{col 26}{space 2} 1.341439{col 37}{space 1}    2.60{col 46}{space 3}0.010{col 54}{space 4} .8505632{col 67}{space 3} 6.112481
{txt}{space 7}1945  {c |}{col 14}{res}{space 2} 4.862705{col 26}{space 2} 1.338071{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} 2.238352{col 67}{space 3} 7.487058
{txt}{space 7}1950  {c |}{col 14}{res}{space 2} 5.693116{col 26}{space 2} 1.312923{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4} 3.118085{col 67}{space 3} 8.268146
{txt}{space 7}1955  {c |}{col 14}{res}{space 2} 5.571351{col 26}{space 2} 1.330079{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} 2.962672{col 67}{space 3} 8.180029
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} 6.196217{col 26}{space 2} 1.337043{col 37}{space 1}    4.63{col 46}{space 3}0.000{col 54}{space 4} 3.573881{col 67}{space 3} 8.818553
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} 5.471483{col 26}{space 2} 1.366628{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} 2.791123{col 67}{space 3} 8.151844
{txt}{space 7}1970  {c |}{col 14}{res}{space 2} 4.531003{col 26}{space 2}   1.3998{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} 1.785582{col 67}{space 3} 7.276424
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}  3.94041{col 26}{space 2} 1.431218{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} 1.133369{col 67}{space 3} 6.747451
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} 4.256414{col 26}{space 2} 1.465385{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} 1.382361{col 67}{space 3} 7.130467
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} 5.178931{col 26}{space 2} 1.472193{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} 2.291526{col 67}{space 3} 8.066337
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 7.351122{col 26}{space 2} 1.483497{col 37}{space 1}    4.96{col 46}{space 3}0.000{col 54}{space 4} 4.441546{col 67}{space 3}  10.2607
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 8.770588{col 26}{space 2} 1.501299{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4} 5.826096{col 67}{space 3} 11.71508
{txt}{space 7}2000  {c |}{col 14}{res}{space 2}  9.07899{col 26}{space 2} 1.552779{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} 6.033532{col 67}{space 3} 12.12445
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 9.163254{col 26}{space 2} 1.602831{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4}  6.01963{col 67}{space 3} 12.30688
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 9.027867{col 26}{space 2} 1.643656{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} 5.804172{col 67}{space 3} 12.25156
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-19.10561{col 26}{space 2} 2.658966{col 37}{space 1}   -7.19{col 46}{space 3}0.000{col 54}{space 4}-24.32063{col 67}{space 3}-13.89059
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.8881184
     {txt}sigma_e {c |} {res} 4.3435953
         {txt}rho {c |} {res} .55877946{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1783{txt}) = {res}12.66{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store africa8

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,926
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2859                                         {txt}min = {res}         1
{txt}     between = {res}0.3381                                         {txt}avg = {res}      18.9
{txt}     overall = {res}0.3344                                         {txt}max = {res}        39

                                                {txt}Wald chi2({res}4{txt})      =  {res}   778.72
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}-1.107601{col 26}{space 2} 1.226127{col 37}{space 1}   -0.90{col 46}{space 3}0.366{col 54}{space 4}-3.510766{col 67}{space 3} 1.295565
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0293685{col 26}{space 2} .0059799{col 37}{space 1}    4.91{col 46}{space 3}0.000{col 54}{space 4}  .017648{col 67}{space 3} .0410889
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0269654{col 26}{space 2} .0098105{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0077373{col 67}{space 3} .0461936
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.889037{col 26}{space 2} .1808866{col 37}{space 1}   15.97{col 46}{space 3}0.000{col 54}{space 4} 2.534506{col 67}{space 3} 3.243569
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.58912{col 26}{space 2} 1.366463{col 37}{space 1}  -18.73{col 46}{space 3}0.000{col 54}{space 4}-28.26733{col 67}{space 3} -22.9109
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9115708
     {txt}sigma_e {c |} {res} 4.5711667
         {txt}rho {c |} {res} .42270988{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store europe9

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,926
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2854                                         {txt}min = {res}         1
{txt}     between = {res}0.3250                                         {txt}avg = {res}      18.9
{txt}     overall = {res}0.3335                                         {txt}max = {res}        39

                                                {txt}Wald chi2({res}4{txt})      =  {res}   774.49
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2} 2.708454{col 26}{space 2} 1.440367{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.1146139{col 67}{space 3} 5.531523
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0392769{col 26}{space 2}    .0059{col 37}{space 1}    6.66{col 46}{space 3}0.000{col 54}{space 4} .0277132{col 67}{space 3} .0508406
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0291704{col 26}{space 2} .0125963{col 37}{space 1}   -2.32{col 46}{space 3}0.021{col 54}{space 4}-.0538587{col 67}{space 3} -.004482
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.965069{col 26}{space 2} .1794135{col 37}{space 1}   16.53{col 46}{space 3}0.000{col 54}{space 4} 2.613425{col 67}{space 3} 3.316714
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-26.74645{col 26}{space 2} 1.349714{col 37}{space 1}  -19.82{col 46}{space 3}0.000{col 54}{space 4}-29.39184{col 67}{space 3}-24.10106
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9394585
     {txt}sigma_e {c |} {res} 4.5728527
         {txt}rho {c |} {res} .42600052{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store asia10

. 
. 
. 
. xtreg polity i.Latin##c.pri ln_gdp, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,926
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2849                                         {txt}min = {res}         1
{txt}     between = {res}0.3347                                         {txt}avg = {res}      18.9
{txt}     overall = {res}0.3362                                         {txt}max = {res}        39

                                                {txt}Wald chi2({res}4{txt})      =  {res}   774.68
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.Latin {c |}{col 14}{res}{space 2} 2.301419{col 26}{space 2}  1.16906{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0101045{col 67}{space 3} 4.592734
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0429555{col 26}{space 2}  .006566{col 37}{space 1}    6.54{col 46}{space 3}0.000{col 54}{space 4} .0300865{col 67}{space 3} .0558245
{txt}{space 12} {c |}
{space 1}Latin#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0191768{col 26}{space 2} .0088447{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.0365121{col 67}{space 3}-.0018415
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.962764{col 26}{space 2} .1787664{col 37}{space 1}   16.57{col 46}{space 3}0.000{col 54}{space 4} 2.612388{col 67}{space 3} 3.313139
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -27.1193{col 26}{space 2} 1.351073{col 37}{space 1}  -20.07{col 46}{space 3}0.000{col 54}{space 4}-29.76735{col 67}{space 3}-24.47124
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9173981
     {txt}sigma_e {c |} {res} 4.5745641
         {txt}rho {c |} {res} .42307387{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store latin11

. 
. 
. 
. xtreg polity i.Africa##c.pri ln_gdp, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,926
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2921                                         {txt}min = {res}         1
{txt}     between = {res}0.3047                                         {txt}avg = {res}      18.9
{txt}     overall = {res}0.3321                                         {txt}max = {res}        39

                                                {txt}Wald chi2({res}4{txt})      =  {res}   794.40
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Africa {c |}{col 14}{res}{space 2}-3.459219{col 26}{space 2} 1.374779{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-6.153736{col 67}{space 3}-.7647027
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0256567{col 26}{space 2} .0059751{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .0139457{col 67}{space 3} .0373677
{txt}{space 12} {c |}
Africa#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0685637{col 26}{space 2} .0155459{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} .0380943{col 67}{space 3} .0990331
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 3.160574{col 26}{space 2}  .183518{col 37}{space 1}   17.22{col 46}{space 3}0.000{col 54}{space 4} 2.800886{col 67}{space 3} 3.520263
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-27.44093{col 26}{space 2} 1.377766{col 37}{space 1}  -19.92{col 46}{space 3}0.000{col 54}{space 4} -30.1413{col 67}{space 3}-24.74056
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9146413
     {txt}sigma_e {c |} {res} 4.5508084
         {txt}rho {c |} {res} .42527336{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store africa12

. 
. 
. 
. 
. 
. 
. 
. coefplot (europe1) (latin3) (africa4) (asia2), bylabel (Country FE)  || (europe5) (latin7) (africa8) (asia6), bylabel (Country & Year FE) || (europe9) (latin11) (africa12) (asia10), bylabel (Country RE) ||, omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2)) keep(1.Europe#c.pri || 1.Asia#c.pri || 1.Latin#c.pri || 1.Africa#c.pri)
{res}
{com}. # europe asia latin african post-war
{err}Unknown #command

{com}. xtreg polity i.Europe##c.pri ln_gdp if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1478{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.4476{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.3205{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}3{txt},{res}1096{txt}){col 67}={col 70}{res}    63.38
{txt}corr(u_i, Xb){col 16}= {res}-0.1642{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}  .074688{col 26}{space 2} .0094591{col 37}{space 1}    7.90{col 46}{space 3}0.000{col 54}{space 4} .0561281{col 67}{space 3} .0932479
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0502579{col 26}{space 2} .0452748{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0385772{col 67}{space 3} .1390931
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 1.962421{col 26}{space 2}  .301767{col 37}{space 1}    6.50{col 46}{space 3}0.000{col 54}{space 4} 1.370315{col 67}{space 3} 2.554527
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-22.12645{col 26}{space 2} 2.417715{col 37}{space 1}   -9.15{col 46}{space 3}0.000{col 54}{space 4}-26.87032{col 67}{space 3}-17.38258
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.3466396
     {txt}sigma_e {c |} {res} 4.5263485
         {txt}rho {c |} {res} .47975482{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1096{txt}) = {res}9.93{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe1

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1531{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3632{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.2780{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}3{txt},{res}1096{txt}){col 67}={col 70}{res}    66.02
{txt}corr(u_i, Xb){col 16}= {res}-0.1058{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0869694{col 26}{space 2} .0101532{col 37}{space 1}    8.57{col 46}{space 3}0.000{col 54}{space 4} .0670474{col 67}{space 3} .1068913
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0605216{col 26}{space 2}  .021411{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.1025328{col 67}{space 3}-.0185104
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.093707{col 26}{space 2} .2982185{col 37}{space 1}    7.02{col 46}{space 3}0.000{col 54}{space 4} 1.508564{col 67}{space 3} 2.678851
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-22.33485{col 26}{space 2} 2.367357{col 37}{space 1}   -9.43{col 46}{space 3}0.000{col 54}{space 4}-26.97991{col 67}{space 3}-17.68978
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.6293869
     {txt}sigma_e {c |} {res} 4.5124739
         {txt}rho {c |} {res} .51278667{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1096{txt}) = {res}10.20{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia2

. 
. 
. 
. xtreg polity i.Latin##c.pri ln_gdp if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Latin omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1586{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2878{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.2244{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}3{txt},{res}1096{txt}){col 67}={col 70}{res}    68.85
{txt}corr(u_i, Xb){col 16}= {res}-0.2010{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.Latin {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}  .058502{col 26}{space 2} .0103477{col 37}{space 1}    5.65{col 46}{space 3}0.000{col 54}{space 4} .0381985{col 67}{space 3} .0788055
{txt}{space 12} {c |}
{space 1}Latin#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0808706{col 26}{space 2} .0207373{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .0401813{col 67}{space 3} .1215599
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.026722{col 26}{space 2} .2959989{col 37}{space 1}    6.85{col 46}{space 3}0.000{col 54}{space 4} 1.445934{col 67}{space 3} 2.607511
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-21.63302{col 26}{space 2}  2.34271{col 37}{space 1}   -9.23{col 46}{space 3}0.000{col 54}{space 4}-26.22973{col 67}{space 3}-17.03632
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.9723031
     {txt}sigma_e {c |} {res} 4.4977941
         {txt}rho {c |} {res} .54998055{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1096{txt}) = {res}10.31{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store latin3

. 
. 
. 
. xtreg polity i.Africa##c.pri ln_gdp if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Africa omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1546{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.3813{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.2956{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}3{txt},{res}1096{txt}){col 67}={col 70}{res}    66.79
{txt}corr(u_i, Xb){col 16}= {res}0.1618{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Africa {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0541085{col 26}{space 2} .0116309{col 37}{space 1}    4.65{col 46}{space 3}0.000{col 54}{space 4} .0312871{col 67}{space 3} .0769299
{txt}{space 12} {c |}
Africa#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0611287{col 26}{space 2} .0193736{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0231152{col 67}{space 3} .0991422
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.286957{col 26}{space 2} .3088564{col 37}{space 1}    7.40{col 46}{space 3}0.000{col 54}{space 4}  1.68094{col 67}{space 3} 2.892974
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-22.83176{col 26}{space 2}  2.38404{col 37}{space 1}   -9.58{col 46}{space 3}0.000{col 54}{space 4}-27.50955{col 67}{space 3}-18.15396
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.5926472
     {txt}sigma_e {c |} {res}  4.508462
         {txt}rho {c |} {res}  .5092492{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1096{txt}) = {res}10.08{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store africa4

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp i.year if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2808{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.1884{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.2140{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}15{txt},{res}1084{txt}){col 67}={col 70}{res}    28.21
{txt}corr(u_i, Xb){col 16}= {res}0.0301{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}  .006309{col 26}{space 2}   .01121{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-.0156868{col 67}{space 3} .0283048
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0544335{col 26}{space 2} .0422207{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0284102{col 67}{space 3} .1372771
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.2471405{col 26}{space 2}  .414042{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-1.059555{col 67}{space 3} .5652739
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1955  {c |}{col 14}{res}{space 2} .0955985{col 26}{space 2} .7255258{col 37}{space 1}    0.13{col 46}{space 3}0.895{col 54}{space 4}-1.327995{col 67}{space 3} 1.519192
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} .9675246{col 26}{space 2} .7076104{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.4209165{col 67}{space 3} 2.355966
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} .6262472{col 26}{space 2} .7160366{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-.7787275{col 67}{space 3} 2.031222
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}-.0708983{col 26}{space 2}  .738633{col 37}{space 1}   -0.10{col 46}{space 3}0.924{col 54}{space 4}-1.520211{col 67}{space 3} 1.378414
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-.4427276{col 26}{space 2} .7651644{col 37}{space 1}   -0.58{col 46}{space 3}0.563{col 54}{space 4}-1.944099{col 67}{space 3} 1.058644
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} .1366386{col 26}{space 2} .8018726{col 37}{space 1}    0.17{col 46}{space 3}0.865{col 54}{space 4} -1.43676{col 67}{space 3} 1.710037
{txt}{space 7}1985  {c |}{col 14}{res}{space 2}  1.09213{col 26}{space 2} .8099948{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.4972049{col 67}{space 3} 2.681466
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 3.340664{col 26}{space 2} .8228553{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} 1.726095{col 67}{space 3} 4.955234
{txt}{space 7}1995  {c |}{col 14}{res}{space 2}  4.82073{col 26}{space 2} .8392304{col 37}{space 1}    5.74{col 46}{space 3}0.000{col 54}{space 4}  3.17403{col 67}{space 3}  6.46743
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 5.423506{col 26}{space 2} .9004147{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} 3.656753{col 67}{space 3} 7.190259
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 5.909347{col 26}{space 2} .9607682{col 37}{space 1}    6.15{col 46}{space 3}0.000{col 54}{space 4} 4.024171{col 67}{space 3} 7.794523
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 6.108587{col 26}{space 2} 1.009021{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 4.128731{col 67}{space 3} 8.088444
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.0610376{col 26}{space 2} 3.471557{col 37}{space 1}   -0.02{col 46}{space 3}0.986{col 54}{space 4}-6.872771{col 67}{space 3} 6.750696
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res}  5.191835
     {txt}sigma_e {c |} {res} 4.1813266
         {txt}rho {c |} {res} .60657007{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1084{txt}) = {res}11.99{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe5

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp i.year if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2821{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0351{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.1254{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}15{txt},{res}1084{txt}){col 67}={col 70}{res}    28.40
{txt}corr(u_i, Xb){col 16}= {res}-0.0265{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0170213{col 26}{space 2} .0120245{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0065727{col 67}{space 3} .0406152
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0385077{col 26}{space 2} .0200278{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.0778054{col 67}{space 3}   .00079
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.0318839{col 26}{space 2} .4128054{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4} -.841872{col 67}{space 3} .7781042
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1955  {c |}{col 14}{res}{space 2} .0275308{col 26}{space 2} .7237693{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-1.392617{col 67}{space 3} 1.447678
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} .9057993{col 26}{space 2} .7062332{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-.4799396{col 67}{space 3} 2.291538
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} .5119751{col 26}{space 2} .7129079{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.8868606{col 67}{space 3} 1.910811
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}-.2010356{col 26}{space 2} .7364572{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-1.646079{col 67}{space 3} 1.244007
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-.5998058{col 26}{space 2} .7639268{col 37}{space 1}   -0.79{col 46}{space 3}0.433{col 54}{space 4}-2.098749{col 67}{space 3} .8991369
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-.0673672{col 26}{space 2} .7993363{col 37}{space 1}   -0.08{col 46}{space 3}0.933{col 54}{space 4}-1.635789{col 67}{space 3} 1.501054
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} .8775381{col 26}{space 2} .8065775{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.7050918{col 67}{space 3} 2.460168
{txt}{space 7}1990  {c |}{col 14}{res}{space 2}  3.11779{col 26}{space 2} .8180814{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} 1.512588{col 67}{space 3} 4.722993
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 4.629174{col 26}{space 2} .8377293{col 37}{space 1}    5.53{col 46}{space 3}0.000{col 54}{space 4}  2.98542{col 67}{space 3} 6.272929
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 5.181581{col 26}{space 2}  .900971{col 37}{space 1}    5.75{col 46}{space 3}0.000{col 54}{space 4} 3.413736{col 67}{space 3} 6.949425
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 5.611593{col 26}{space 2} .9617918{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} 3.724409{col 67}{space 3} 7.498778
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 5.767707{col 26}{space 2} 1.010721{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} 3.784517{col 67}{space 3} 7.750898
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.8608748{col 26}{space 2} 3.510502{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-7.749024{col 67}{space 3} 6.027274
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 5.6609399
     {txt}sigma_e {c |} {res}  4.177414
         {txt}rho {c |} {res} .64743767{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1084{txt}) = {res}12.26{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia6

. 
. 
. 
. xtreg polity i.Latin##c.pri ln_gdp i.year if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Latin omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2879{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0084{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.0757{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}15{txt},{res}1084{txt}){col 67}={col 70}{res}    29.22
{txt}corr(u_i, Xb){col 16}= {res}-0.2267{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.Latin {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2}-.0036197{col 26}{space 2} .0115525{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.0262874{col 67}{space 3} .0190481
{txt}{space 12} {c |}
{space 1}Latin#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0691001{col 26}{space 2} .0195276{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4}  .030784{col 67}{space 3} .1074163
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} .0166109{col 26}{space 2} .4089698{col 37}{space 1}    0.04{col 46}{space 3}0.968{col 54}{space 4}-.7858512{col 67}{space 3}  .819073
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1955  {c |}{col 14}{res}{space 2}-.1508874{col 26}{space 2} .7228937{col 37}{space 1}   -0.21{col 46}{space 3}0.835{col 54}{space 4}-1.569317{col 67}{space 3} 1.267542
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} .6710626{col 26}{space 2} .7069584{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.7160992{col 67}{space 3} 2.058224
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} .1694252{col 26}{space 2} .7177584{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-1.238928{col 67}{space 3} 1.577778
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}-.5324411{col 26}{space 2} .7410927{col 37}{space 1}   -0.72{col 46}{space 3}0.473{col 54}{space 4} -1.98658{col 67}{space 3} .9216976
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-.9069231{col 26}{space 2}  .767642{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-2.413156{col 67}{space 3} .5993093
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} -.390302{col 26}{space 2} .8034091{col 37}{space 1}   -0.49{col 46}{space 3}0.627{col 54}{space 4}-1.966715{col 67}{space 3} 1.186111
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} .5444407{col 26}{space 2} .8109846{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-1.046837{col 67}{space 3} 2.135718
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 2.770799{col 26}{space 2} .8228766{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} 1.156188{col 67}{space 3}  4.38541
{txt}{space 7}1995  {c |}{col 14}{res}{space 2}  4.26895{col 26}{space 2} .8429138{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} 2.615022{col 67}{space 3} 5.922877
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 4.794919{col 26}{space 2} .9067573{col 37}{space 1}    5.29{col 46}{space 3}0.000{col 54}{space 4}  3.01572{col 67}{space 3} 6.574117
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 5.250516{col 26}{space 2} .9654573{col 37}{space 1}    5.44{col 46}{space 3}0.000{col 54}{space 4}  3.35614{col 67}{space 3} 7.144893
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 5.439625{col 26}{space 2} 1.012036{col 37}{space 1}    5.37{col 46}{space 3}0.000{col 54}{space 4} 3.453854{col 67}{space 3} 7.425396
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.9954535{col 26}{space 2} 3.460847{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-7.786172{col 67}{space 3} 5.795265
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 5.9898412
     {txt}sigma_e {c |} {res} 4.1605701
         {txt}rho {c |} {res}  .6745475{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1084{txt}) = {res}12.41{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store latin7

. 
. 
. 
. xtreg polity i.Africa##c.pri ln_gdp i.year if word==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Africa omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,201
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.2807{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.0087{col 63}{txt}avg{col 67}={col 69}{res}      11.8
{txt}     overall = {res}0.0762{col 63}{txt}max{col 67}={col 69}{res}        13

{txt}{col 49}F({res}15{txt},{res}1084{txt}){col 67}={col 70}{res}    28.20
{txt}corr(u_i, Xb){col 16}= {res}-0.0947{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Africa {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}pri {c |}{col 14}{res}{space 2} .0018425{col 26}{space 2} .0122628{col 37}{space 1}    0.15{col 46}{space 3}0.881{col 54}{space 4}-.0222189{col 67}{space 3}  .025904
{txt}{space 12} {c |}
Africa#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0226219{col 26}{space 2} .0185139{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.0137053{col 67}{space 3} .0589491
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2}  .008444{col 26}{space 2} .4298776{col 37}{space 1}    0.02{col 46}{space 3}0.984{col 54}{space 4}-.8350425{col 67}{space 3} .8519304
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1955  {c |}{col 14}{res}{space 2} .0406462{col 26}{space 2} .7244597{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-1.380856{col 67}{space 3} 1.462148
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} .9499479{col 26}{space 2} .7071862{col 37}{space 1}    1.34{col 46}{space 3}0.179{col 54}{space 4}-.4376609{col 67}{space 3} 2.337557
{txt}{space 7}1965  {c |}{col 14}{res}{space 2} .5495072{col 26}{space 2} .7134112{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4} -.850316{col 67}{space 3}  1.94933
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}-.1529238{col 26}{space 2} .7366275{col 37}{space 1}   -0.21{col 46}{space 3}0.836{col 54}{space 4}-1.598301{col 67}{space 3} 1.292453
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-.5387267{col 26}{space 2} .7636477{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4}-2.037122{col 67}{space 3} .9596684
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-.0087529{col 26}{space 2} .7991808{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-1.576869{col 67}{space 3} 1.559363
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} .9280156{col 26}{space 2} .8067745{col 37}{space 1}    1.15{col 46}{space 3}0.250{col 54}{space 4}-.6550009{col 67}{space 3} 2.511032
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 3.166457{col 26}{space 2} .8183251{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} 1.560777{col 67}{space 3} 4.772138
{txt}{space 7}1995  {c |}{col 14}{res}{space 2} 4.671214{col 26}{space 2} .8384138{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4} 3.026116{col 67}{space 3} 6.316311
{txt}{space 7}2000  {c |}{col 14}{res}{space 2} 5.242097{col 26}{space 2}  .901662{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4} 3.472896{col 67}{space 3} 7.011297
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} 5.654784{col 26}{space 2} .9653727{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} 3.760573{col 67}{space 3} 7.548995
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}  5.79677{col 26}{space 2} 1.017578{col 37}{space 1}    5.70{col 46}{space 3}0.000{col 54}{space 4} 3.800125{col 67}{space 3} 7.793415
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.7774873{col 26}{space 2}  3.57757{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4}-7.797233{col 67}{space 3} 6.242258
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 5.9230964
     {txt}sigma_e {c |} {res} 4.1816524
         {txt}rho {c |} {res}  .6673682{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}1084{txt}) = {res}12.09{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store africa8

. 
. 
. 
. xtreg polity i.Europe##c.pri ln_gdp if word==1, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,201
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.1476                                         {txt}min = {res}         1
{txt}     between = {res}0.4706                                         {txt}avg = {res}      11.8
{txt}     overall = {res}0.3396                                         {txt}max = {res}        13

                                                {txt}Wald chi2({res}4{txt})      =  {res}   277.97
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Europe {c |}{col 14}{res}{space 2}-2.933913{col 26}{space 2} 4.282437{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4}-11.32734{col 67}{space 3} 5.459509
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0709015{col 26}{space 2} .0091205{col 37}{space 1}    7.77{col 46}{space 3}0.000{col 54}{space 4} .0530256{col 67}{space 3} .0887774
{txt}{space 12} {c |}
Europe#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0519308{col 26}{space 2} .0445279{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.0353423{col 67}{space 3}  .139204
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.142211{col 26}{space 2}  .268971{col 37}{space 1}    7.96{col 46}{space 3}0.000{col 54}{space 4} 1.615038{col 67}{space 3} 2.669385
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-22.69331{col 26}{space 2} 2.083177{col 37}{space 1}  -10.89{col 46}{space 3}0.000{col 54}{space 4}-26.77626{col 67}{space 3}-18.61036
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9680008
     {txt}sigma_e {c |} {res} 4.5263485
         {txt}rho {c |} {res} .43455111{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store europe9

. 
. 
. 
. xtreg polity i.Asia##c.pri ln_gdp if word==1, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,201
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.1526                                         {txt}min = {res}         1
{txt}     between = {res}0.4588                                         {txt}avg = {res}      11.8
{txt}     overall = {res}0.3380                                         {txt}max = {res}        13

                                                {txt}Wald chi2({res}4{txt})      =  {res}   281.04
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.Asia {c |}{col 14}{res}{space 2} 4.728023{col 26}{space 2}  1.93226{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .9408624{col 67}{space 3} 8.515183
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0834679{col 26}{space 2} .0098263{col 37}{space 1}    8.49{col 46}{space 3}0.000{col 54}{space 4} .0642088{col 67}{space 3} .1027271
{txt}{space 12} {c |}
{space 2}Asia#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0575952{col 26}{space 2} .0199007{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-.0965998{col 67}{space 3}-.0185906
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.358135{col 26}{space 2} .2605325{col 37}{space 1}    9.05{col 46}{space 3}0.000{col 54}{space 4} 1.847501{col 67}{space 3}  2.86877
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.13119{col 26}{space 2} 2.117004{col 37}{space 1}  -11.87{col 46}{space 3}0.000{col 54}{space 4}-29.28044{col 67}{space 3}-20.98193
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.0066123
     {txt}sigma_e {c |} {res} 4.5124739
         {txt}rho {c |} {res} .44082885{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store asia10

. 
. 
. 
. xtreg polity i.Latin##c.pri ln_gdp if word==1, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,201
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.1578                                         {txt}min = {res}         1
{txt}     between = {res}0.4544                                         {txt}avg = {res}      11.8
{txt}     overall = {res}0.3349                                         {txt}max = {res}        13

                                                {txt}Wald chi2({res}4{txt})      =  {res}   286.78
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.Latin {c |}{col 14}{res}{space 2}-5.460093{col 26}{space 2} 1.938044{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-9.258589{col 67}{space 3}-1.661597
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0572516{col 26}{space 2} .0099394{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} .0377708{col 67}{space 3} .0767324
{txt}{space 12} {c |}
{space 1}Latin#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0735612{col 26}{space 2} .0200345{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0342943{col 67}{space 3}  .112828
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 2.348253{col 26}{space 2} .2571451{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4} 1.844257{col 67}{space 3} 2.852248
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  -23.022{col 26}{space 2} 2.035226{col 37}{space 1}  -11.31{col 46}{space 3}0.000{col 54}{space 4}-27.01097{col 67}{space 3}-19.03303
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 4.0209268
     {txt}sigma_e {c |} {res} 4.4977941
         {txt}rho {c |} {res} .44419613{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store latin11

. 
. 
. 
. xtreg polity i.Africa##c.pri ln_gdp, re i(country_1)
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     1,926
{txt}Group variable: {res}country_1                       {txt}Number of groups  = {res}       102

{txt}R-sq:                                           Obs per group:
     within  = {res}0.2921                                         {txt}min = {res}         1
{txt}     between = {res}0.3047                                         {txt}avg = {res}      18.9
{txt}     overall = {res}0.3321                                         {txt}max = {res}        39

                                                {txt}Wald chi2({res}4{txt})      =  {res}   794.40
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      polity{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.Africa {c |}{col 14}{res}{space 2}-3.459219{col 26}{space 2} 1.374779{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-6.153736{col 67}{space 3}-.7647027
{txt}{space 9}pri {c |}{col 14}{res}{space 2} .0256567{col 26}{space 2} .0059751{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .0139457{col 67}{space 3} .0373677
{txt}{space 12} {c |}
Africa#c.pri {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0685637{col 26}{space 2} .0155459{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} .0380943{col 67}{space 3} .0990331
{txt}{space 12} {c |}
{space 6}ln_gdp {c |}{col 14}{res}{space 2} 3.160574{col 26}{space 2}  .183518{col 37}{space 1}   17.22{col 46}{space 3}0.000{col 54}{space 4} 2.800886{col 67}{space 3} 3.520263
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-27.44093{col 26}{space 2} 1.377766{col 37}{space 1}  -19.92{col 46}{space 3}0.000{col 54}{space 4} -30.1413{col 67}{space 3}-24.74056
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 3.9146413
     {txt}sigma_e {c |} {res} 4.5508084
         {txt}rho {c |} {res} .42527336{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. 
. estimates store africa12

. 
. 
. 
. coefplot (europe1) (latin3) (africa4) (asia2), bylabel (Country FE)  || (europe5) (latin7) (africa8) (asia6), bylabel (Country & Year FE) || (europe9) (latin11) (africa12) (asia10), bylabel (Country RE) ||, omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2)) keep(1.Europe#c.pri || 2.Asia#c.pri || 1.Latin#c.pri || 1.Africa#c.pri)
{res}{txt}(asia2: no coefficients found, all dropped, or none kept)
{res}{txt}(asia6: no coefficients found, all dropped, or none kept)
{res}{txt}(asia10: no coefficients found, all dropped, or none kept)
{res}
{com}. 
. 
. # europe asia latin africa did post -war
{err}Unknown #command

{com}. xtreg polity i.Europe##i.edu_did_70 ln_gdp if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1622{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.4436{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.3153{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}3{txt},{res}6558{txt}){col 67}={col 70}{res}   423.27
{txt}corr(u_i, Xb){col 16}= {res}-0.2339{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Europe {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2} 2.919281{col 31}{space 2} .1808208{col 42}{space 1}   16.14{col 51}{space 3}0.000{col 59}{space 4} 2.564813{col 72}{space 3} 3.273749
{txt}{space 17} {c |}
Europe#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}  5.02794{col 31}{space 2} 1.314207{col 42}{space 1}    3.83{col 51}{space 3}0.000{col 59}{space 4} 2.451667{col 72}{space 3} 7.604214
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} 2.529851{col 31}{space 2} .1072772{col 42}{space 1}   23.58{col 51}{space 3}0.000{col 59}{space 4} 2.319553{col 72}{space 3}  2.74015
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -23.1159{col 31}{space 2} .9268233{col 42}{space 1}  -24.94{col 51}{space 3}0.000{col 59}{space 4}-24.93278{col 72}{space 3}-21.29903
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} 4.2728083
          {txt}sigma_e {c |} {res} 4.4409277
              {txt}rho {c |} {res} .48071357{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6558{txt}) = {res}54.25{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe1

. 
. 
. 
. xtreg polity i.Asia##i.edu_did_70 ln_gdp if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1641{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.4305{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.3171{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}3{txt},{res}6558{txt}){col 67}={col 70}{res}   429.02
{txt}corr(u_i, Xb){col 16}= {res}0.0319{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         polity{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Asia {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 3}1.edu_did_70 {c |}{col 17}{res}{space 2} 3.396383{col 29}{space 2} .1949357{col 40}{space 1}   17.42{col 49}{space 3}0.000{col 57}{space 4} 3.014246{col 70}{space 3} 3.778521
{txt}{space 15} {c |}
Asia#edu_did_70 {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2}-2.345221{col 29}{space 2} .4346684{col 40}{space 1}   -5.40{col 49}{space 3}0.000{col 57}{space 4}-3.197313{col 70}{space 3} -1.49313
{txt}{space 15} {c |}
{space 9}ln_gdp {c |}{col 17}{res}{space 2} 2.623785{col 29}{space 2} .1075989{col 40}{space 1}   24.38{col 49}{space 3}0.000{col 57}{space 4} 2.412856{col 70}{space 3} 2.834714
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-22.80997{col 29}{space 2} .9011657{col 40}{space 1}  -25.31{col 49}{space 3}0.000{col 57}{space 4}-24.57655{col 70}{space 3} -21.0434
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        sigma_u {c |} {res} 4.1789586
        {txt}sigma_e {c |} {res} 4.4360461
            {txt}rho {c |} {res} .47018472{txt}   (fraction of variance due to u_i)
{hline 16}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6558{txt}) = {res}55.65{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia2

. 
. 
. 
. xtreg polity i.Latin##i.edu_did_70 ln_gdp if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Latin omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1633{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.4388{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.3200{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}3{txt},{res}6558{txt}){col 67}={col 70}{res}   426.75
{txt}corr(u_i, Xb){col 16}= {res}0.0915{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          polity{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Latin {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 4}1.edu_did_70 {c |}{col 18}{res}{space 2} 2.505059{col 30}{space 2} .2057287{col 41}{space 1}   12.18{col 50}{space 3}0.000{col 58}{space 4} 2.101764{col 71}{space 3} 2.908354
{txt}{space 16} {c |}
Latin#edu_did_70 {c |}
{space 12}1 1  {c |}{col 18}{res}{space 2} 1.889304{col 30}{space 2} .3905628{col 41}{space 1}    4.84{col 50}{space 3}0.000{col 58}{space 4} 1.123674{col 71}{space 3} 2.654935
{txt}{space 16} {c |}
{space 10}ln_gdp {c |}{col 18}{res}{space 2} 2.573627{col 30}{space 2} .1070014{col 41}{space 1}   24.05{col 50}{space 3}0.000{col 58}{space 4} 2.363869{col 71}{space 3} 2.783385
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-22.28564{col 30}{space 2} .8944676{col 41}{space 1}  -24.91{col 50}{space 3}0.000{col 58}{space 4}-24.03908{col 71}{space 3}-20.53219
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         sigma_u {c |} {res}  4.163397
         {txt}sigma_e {c |} {res} 4.4379701
             {txt}rho {c |} {res} .46811046{txt}   (fraction of variance due to u_i)
{hline 17}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6558{txt}) = {res}55.43{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store latin3

. 
. 
. 
. xtreg polity i.Africa##i.edu_did_70 ln_gdp if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Africa omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1689{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.4450{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.3269{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}3{txt},{res}6558{txt}){col 67}={col 70}{res}   444.34
{txt}corr(u_i, Xb){col 16}= {res}0.1528{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Africa {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2} 2.027019{col 31}{space 2} .2139409{col 42}{space 1}    9.47{col 51}{space 3}0.000{col 59}{space 4} 1.607625{col 72}{space 3} 2.446413
{txt}{space 17} {c |}
Africa#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}  3.11532{col 31}{space 2}  .378619{col 42}{space 1}    8.23{col 51}{space 3}0.000{col 59}{space 4} 2.373104{col 72}{space 3} 3.857537
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} 2.693159{col 31}{space 2} .1078524{col 42}{space 1}   24.97{col 51}{space 3}0.000{col 59}{space 4} 2.481733{col 72}{space 3} 2.904585
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-22.89209{col 31}{space 2} .8953108{col 42}{space 1}  -25.57{col 51}{space 3}0.000{col 59}{space 4}-24.64719{col 72}{space 3}-21.13699
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res}  4.179543
          {txt}sigma_e {c |} {res} 4.4231084
              {txt}rho {c |} {res} .47170985{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6558{txt}) = {res}55.53{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store africa4

. 
. 
. 
. 
. 
. xtreg polity i.Europe##i.edu_did_70 ln_gdp i.year if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Europe omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3137{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.2462{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.2580{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}75{txt},{res}6486{txt}){col 67}={col 70}{res}    39.52
{txt}corr(u_i, Xb){col 16}= {res}-0.1912{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Europe {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2} .5760373{col 31}{space 2} .1885816{col 42}{space 1}    3.05{col 51}{space 3}0.002{col 59}{space 4} .2063552{col 72}{space 3} .9457194
{txt}{space 17} {c |}
Europe#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} 8.673052{col 31}{space 2} 1.213461{col 42}{space 1}    7.15{col 51}{space 3}0.000{col 59}{space 4} 6.294268{col 72}{space 3} 11.05184
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} .0969675{col 31}{space 2} .1520885{col 42}{space 1}    0.64{col 51}{space 3}0.524{col 59}{space 4}-.2011762{col 72}{space 3} .3951112
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}1947  {c |}{col 19}{res}{space 2}-.0046253{col 31}{space 2} .8717032{col 42}{space 1}   -0.01{col 51}{space 3}0.996{col 59}{space 4}-1.713451{col 72}{space 3}   1.7042
{txt}{space 12}1948  {c |}{col 19}{res}{space 2}-.5035239{col 31}{space 2} .8532956{col 42}{space 1}   -0.59{col 51}{space 3}0.555{col 59}{space 4}-2.176265{col 72}{space 3} 1.169217
{txt}{space 12}1949  {c |}{col 19}{res}{space 2}-.2465041{col 31}{space 2}   .84509{col 42}{space 1}   -0.29{col 51}{space 3}0.771{col 59}{space 4}-1.903159{col 72}{space 3} 1.410151
{txt}{space 12}1950  {c |}{col 19}{res}{space 2}-.2515382{col 31}{space 2} .7968895{col 42}{space 1}   -0.32{col 51}{space 3}0.752{col 59}{space 4}-1.813705{col 72}{space 3} 1.310628
{txt}{space 12}1951  {c |}{col 19}{res}{space 2} -.059625{col 31}{space 2}  .792269{col 42}{space 1}   -0.08{col 51}{space 3}0.940{col 59}{space 4}-1.612733{col 72}{space 3} 1.493484
{txt}{space 12}1952  {c |}{col 19}{res}{space 2} .0219178{col 31}{space 2} .7879574{col 42}{space 1}    0.03{col 51}{space 3}0.978{col 59}{space 4}-1.522739{col 72}{space 3} 1.566574
{txt}{space 12}1953  {c |}{col 19}{res}{space 2}-.0868668{col 31}{space 2} .7860561{col 42}{space 1}   -0.11{col 51}{space 3}0.912{col 59}{space 4}-1.627796{col 72}{space 3} 1.454062
{txt}{space 12}1954  {c |}{col 19}{res}{space 2}-.2889204{col 31}{space 2} .7861868{col 42}{space 1}   -0.37{col 51}{space 3}0.713{col 59}{space 4}-1.830106{col 72}{space 3} 1.252265
{txt}{space 12}1955  {c |}{col 19}{res}{space 2}-.3772643{col 31}{space 2} .7875962{col 42}{space 1}   -0.48{col 51}{space 3}0.632{col 59}{space 4}-1.921213{col 72}{space 3} 1.166684
{txt}{space 12}1956  {c |}{col 19}{res}{space 2} .4019857{col 31}{space 2} .7838862{col 42}{space 1}    0.51{col 51}{space 3}0.608{col 59}{space 4} -1.13469{col 72}{space 3} 1.938661
{txt}{space 12}1957  {c |}{col 19}{res}{space 2} .4260007{col 31}{space 2} .7800392{col 42}{space 1}    0.55{col 51}{space 3}0.585{col 59}{space 4}-1.103133{col 72}{space 3} 1.955135
{txt}{space 12}1958  {c |}{col 19}{res}{space 2}-.1638231{col 31}{space 2}  .782059{col 42}{space 1}   -0.21{col 51}{space 3}0.834{col 59}{space 4}-1.696917{col 72}{space 3} 1.369271
{txt}{space 12}1959  {c |}{col 19}{res}{space 2} .0331081{col 31}{space 2} .7804311{col 42}{space 1}    0.04{col 51}{space 3}0.966{col 59}{space 4}-1.496794{col 72}{space 3}  1.56301
{txt}{space 12}1960  {c |}{col 19}{res}{space 2} .3906685{col 31}{space 2} .7648649{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-1.108719{col 72}{space 3} 1.890056
{txt}{space 12}1961  {c |}{col 19}{res}{space 2} .2983887{col 31}{space 2}  .762345{col 42}{space 1}    0.39{col 51}{space 3}0.696{col 59}{space 4}-1.196059{col 72}{space 3} 1.792836
{txt}{space 12}1962  {c |}{col 19}{res}{space 2} .2231676{col 31}{space 2} .7586933{col 42}{space 1}    0.29{col 51}{space 3}0.769{col 59}{space 4}-1.264122{col 72}{space 3} 1.710457
{txt}{space 12}1963  {c |}{col 19}{res}{space 2} .3093543{col 31}{space 2}  .756858{col 42}{space 1}    0.41{col 51}{space 3}0.683{col 59}{space 4}-1.174337{col 72}{space 3} 1.793046
{txt}{space 12}1964  {c |}{col 19}{res}{space 2} .0506751{col 31}{space 2} .7550426{col 42}{space 1}    0.07{col 51}{space 3}0.946{col 59}{space 4}-1.429458{col 72}{space 3} 1.530808
{txt}{space 12}1965  {c |}{col 19}{res}{space 2}-.0185321{col 31}{space 2} .7545649{col 42}{space 1}   -0.02{col 51}{space 3}0.980{col 59}{space 4}-1.497728{col 72}{space 3} 1.460664
{txt}{space 12}1966  {c |}{col 19}{res}{space 2}-.2005992{col 31}{space 2}  .753859{col 42}{space 1}   -0.27{col 51}{space 3}0.790{col 59}{space 4}-1.678411{col 72}{space 3} 1.277213
{txt}{space 12}1967  {c |}{col 19}{res}{space 2}-.4656535{col 31}{space 2} .7542543{col 42}{space 1}   -0.62{col 51}{space 3}0.537{col 59}{space 4}-1.944241{col 72}{space 3} 1.012934
{txt}{space 12}1968  {c |}{col 19}{res}{space 2}-.4762039{col 31}{space 2} .7536762{col 42}{space 1}   -0.63{col 51}{space 3}0.528{col 59}{space 4}-1.953658{col 72}{space 3}  1.00125
{txt}{space 12}1969  {c |}{col 19}{res}{space 2}-.6775873{col 31}{space 2} .7544589{col 42}{space 1}   -0.90{col 51}{space 3}0.369{col 59}{space 4}-2.156576{col 72}{space 3} .8014011
{txt}{space 12}1970  {c |}{col 19}{res}{space 2}-.7580529{col 31}{space 2} .7558735{col 42}{space 1}   -1.00{col 51}{space 3}0.316{col 59}{space 4}-2.239814{col 72}{space 3} .7237085
{txt}{space 12}1971  {c |}{col 19}{res}{space 2}-1.062486{col 31}{space 2} .7564563{col 42}{space 1}   -1.40{col 51}{space 3}0.160{col 59}{space 4} -2.54539{col 72}{space 3} .4204178
{txt}{space 12}1972  {c |}{col 19}{res}{space 2}-1.526287{col 31}{space 2} .7563751{col 42}{space 1}   -2.02{col 51}{space 3}0.044{col 59}{space 4}-3.009032{col 72}{space 3}-.0435428
{txt}{space 12}1973  {c |}{col 19}{res}{space 2}-1.354327{col 31}{space 2} .7572666{col 42}{space 1}   -1.79{col 51}{space 3}0.074{col 59}{space 4}-2.838819{col 72}{space 3} .1301657
{txt}{space 12}1974  {c |}{col 19}{res}{space 2}-1.284379{col 31}{space 2} .7578854{col 42}{space 1}   -1.69{col 51}{space 3}0.090{col 59}{space 4}-2.770084{col 72}{space 3} .2013265
{txt}{space 12}1975  {c |}{col 19}{res}{space 2}-1.190695{col 31}{space 2} .7582318{col 42}{space 1}   -1.57{col 51}{space 3}0.116{col 59}{space 4} -2.67708{col 72}{space 3} .2956888
{txt}{space 12}1976  {c |}{col 19}{res}{space 2} -1.42084{col 31}{space 2} .7599036{col 42}{space 1}   -1.87{col 51}{space 3}0.062{col 59}{space 4}-2.910502{col 72}{space 3} .0688213
{txt}{space 12}1977  {c |}{col 19}{res}{space 2}-1.472385{col 31}{space 2} .7600638{col 42}{space 1}   -1.94{col 51}{space 3}0.053{col 59}{space 4}-2.962361{col 72}{space 3} .0175902
{txt}{space 12}1978  {c |}{col 19}{res}{space 2} -1.09777{col 31}{space 2} .7609757{col 42}{space 1}   -1.44{col 51}{space 3}0.149{col 59}{space 4}-2.589533{col 72}{space 3} .3939935
{txt}{space 12}1979  {c |}{col 19}{res}{space 2}-.7217047{col 31}{space 2} .7657728{col 42}{space 1}   -0.94{col 51}{space 3}0.346{col 59}{space 4}-2.222872{col 72}{space 3} .7794626
{txt}{space 12}1980  {c |}{col 19}{res}{space 2}-.6635295{col 31}{space 2} .7639097{col 42}{space 1}   -0.87{col 51}{space 3}0.385{col 59}{space 4}-2.161044{col 72}{space 3} .8339855
{txt}{space 12}1981  {c |}{col 19}{res}{space 2}-.5006497{col 31}{space 2} .7645896{col 42}{space 1}   -0.65{col 51}{space 3}0.513{col 59}{space 4}-1.999497{col 72}{space 3} .9981981
{txt}{space 12}1982  {c |}{col 19}{res}{space 2}-.4568924{col 31}{space 2} .7637631{col 42}{space 1}   -0.60{col 51}{space 3}0.550{col 59}{space 4} -1.95412{col 72}{space 3} 1.040335
{txt}{space 12}1983  {c |}{col 19}{res}{space 2}-.1697579{col 31}{space 2}  .764261{col 42}{space 1}   -0.22{col 51}{space 3}0.824{col 59}{space 4}-1.667961{col 72}{space 3} 1.328446
{txt}{space 12}1984  {c |}{col 19}{res}{space 2}-.0654387{col 31}{space 2} .7638601{col 42}{space 1}   -0.09{col 51}{space 3}0.932{col 59}{space 4}-1.562856{col 72}{space 3} 1.431979
{txt}{space 12}1985  {c |}{col 19}{res}{space 2} .2830165{col 31}{space 2} .7644812{col 42}{space 1}    0.37{col 51}{space 3}0.711{col 59}{space 4}-1.215619{col 72}{space 3} 1.781652
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .5271853{col 31}{space 2} .7655638{col 42}{space 1}    0.69{col 51}{space 3}0.491{col 59}{space 4}-.9735723{col 72}{space 3} 2.027943
{txt}{space 12}1987  {c |}{col 19}{res}{space 2} .6707108{col 31}{space 2} .7658365{col 42}{space 1}    0.88{col 51}{space 3}0.381{col 59}{space 4}-.8305814{col 72}{space 3} 2.172003
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.092076{col 31}{space 2} .7662866{col 42}{space 1}    1.43{col 51}{space 3}0.154{col 59}{space 4}-.4100988{col 72}{space 3}  2.59425
{txt}{space 12}1989  {c |}{col 19}{res}{space 2} 1.743335{col 31}{space 2} .7632876{col 42}{space 1}    2.28{col 51}{space 3}0.022{col 59}{space 4} .2470395{col 72}{space 3}  3.23963
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 2.497862{col 31}{space 2}  .765216{col 42}{space 1}    3.26{col 51}{space 3}0.001{col 59}{space 4} .9977859{col 72}{space 3} 3.997937
{txt}{space 12}1991  {c |}{col 19}{res}{space 2} 3.000025{col 31}{space 2} .7635188{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} 1.503276{col 72}{space 3} 4.496773
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} 3.434313{col 31}{space 2} .7629093{col 42}{space 1}    4.50{col 51}{space 3}0.000{col 59}{space 4} 1.938759{col 72}{space 3} 4.929867
{txt}{space 12}1993  {c |}{col 19}{res}{space 2} 3.708359{col 31}{space 2} .7628907{col 42}{space 1}    4.86{col 51}{space 3}0.000{col 59}{space 4} 2.212842{col 72}{space 3} 5.203876
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} 3.986449{col 31}{space 2} .7625902{col 42}{space 1}    5.23{col 51}{space 3}0.000{col 59}{space 4} 2.491521{col 72}{space 3} 5.481378
{txt}{space 12}1995  {c |}{col 19}{res}{space 2}  4.01999{col 31}{space 2} .7646742{col 42}{space 1}    5.26{col 51}{space 3}0.000{col 59}{space 4} 2.520976{col 72}{space 3} 5.519004
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} 4.026749{col 31}{space 2} .7658159{col 42}{space 1}    5.26{col 51}{space 3}0.000{col 59}{space 4} 2.525497{col 72}{space 3} 5.528001
{txt}{space 12}1997  {c |}{col 19}{res}{space 2} 4.159715{col 31}{space 2} .7679432{col 42}{space 1}    5.42{col 51}{space 3}0.000{col 59}{space 4} 2.654293{col 72}{space 3} 5.665137
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 4.308792{col 31}{space 2} .7677272{col 42}{space 1}    5.61{col 51}{space 3}0.000{col 59}{space 4} 2.803794{col 72}{space 3} 5.813791
{txt}{space 12}1999  {c |}{col 19}{res}{space 2} 4.442525{col 31}{space 2} .7696347{col 42}{space 1}    5.77{col 51}{space 3}0.000{col 59}{space 4} 2.933787{col 72}{space 3} 5.951263
{txt}{space 12}2000  {c |}{col 19}{res}{space 2}  4.60584{col 31}{space 2} .7715214{col 42}{space 1}    5.97{col 51}{space 3}0.000{col 59}{space 4} 3.093404{col 72}{space 3} 6.118277
{txt}{space 12}2001  {c |}{col 19}{res}{space 2} 4.769706{col 31}{space 2} .7740932{col 42}{space 1}    6.16{col 51}{space 3}0.000{col 59}{space 4} 3.252228{col 72}{space 3} 6.287184
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} 4.724519{col 31}{space 2} .7762741{col 42}{space 1}    6.09{col 51}{space 3}0.000{col 59}{space 4} 3.202766{col 72}{space 3} 6.246273
{txt}{space 12}2003  {c |}{col 19}{res}{space 2} 4.816872{col 31}{space 2} .7773927{col 42}{space 1}    6.20{col 51}{space 3}0.000{col 59}{space 4} 3.292926{col 72}{space 3} 6.340819
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} 4.891217{col 31}{space 2} .7802224{col 42}{space 1}    6.27{col 51}{space 3}0.000{col 59}{space 4} 3.361724{col 72}{space 3}  6.42071
{txt}{space 12}2005  {c |}{col 19}{res}{space 2} 5.021239{col 31}{space 2} .7829323{col 42}{space 1}    6.41{col 51}{space 3}0.000{col 59}{space 4} 3.486434{col 72}{space 3} 6.556045
{txt}{space 12}2006  {c |}{col 19}{res}{space 2}   5.0573{col 31}{space 2} .7851744{col 42}{space 1}    6.44{col 51}{space 3}0.000{col 59}{space 4}   3.5181{col 72}{space 3} 6.596501
{txt}{space 12}2007  {c |}{col 19}{res}{space 2} 4.985761{col 31}{space 2} .7859073{col 42}{space 1}    6.34{col 51}{space 3}0.000{col 59}{space 4} 3.445123{col 72}{space 3} 6.526398
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} 5.133146{col 31}{space 2} .7871673{col 42}{space 1}    6.52{col 51}{space 3}0.000{col 59}{space 4} 3.590038{col 72}{space 3} 6.676253
{txt}{space 12}2009  {c |}{col 19}{res}{space 2} 5.154823{col 31}{space 2}   .78655{col 42}{space 1}    6.55{col 51}{space 3}0.000{col 59}{space 4} 3.612926{col 72}{space 3}  6.69672
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} 5.177951{col 31}{space 2} .7879864{col 42}{space 1}    6.57{col 51}{space 3}0.000{col 59}{space 4} 3.633238{col 72}{space 3} 6.722664
{txt}{space 12}2011  {c |}{col 19}{res}{space 2} 5.463157{col 31}{space 2} .7891194{col 42}{space 1}    6.92{col 51}{space 3}0.000{col 59}{space 4} 3.916223{col 72}{space 3} 7.010091
{txt}{space 12}2012  {c |}{col 19}{res}{space 2}  5.43883{col 31}{space 2} .7912361{col 42}{space 1}    6.87{col 51}{space 3}0.000{col 59}{space 4} 3.887746{col 72}{space 3} 6.989914
{txt}{space 12}2013  {c |}{col 19}{res}{space 2} 5.605821{col 31}{space 2} .7919184{col 42}{space 1}    7.08{col 51}{space 3}0.000{col 59}{space 4}   4.0534{col 72}{space 3} 7.158243
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} 5.377462{col 31}{space 2}  .793057{col 42}{space 1}    6.78{col 51}{space 3}0.000{col 59}{space 4} 3.822808{col 72}{space 3} 6.932115
{txt}{space 12}2015  {c |}{col 19}{res}{space 2} 5.468534{col 31}{space 2} .7920383{col 42}{space 1}    6.90{col 51}{space 3}0.000{col 59}{space 4} 3.915877{col 72}{space 3}  7.02119
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} 5.383724{col 31}{space 2} .7926657{col 42}{space 1}    6.79{col 51}{space 3}0.000{col 59}{space 4} 3.829838{col 72}{space 3} 6.937611
{txt}{space 12}2017  {c |}{col 19}{res}{space 2} 5.342197{col 31}{space 2} .7938881{col 42}{space 1}    6.73{col 51}{space 3}0.000{col 59}{space 4} 3.785915{col 72}{space 3}  6.89848
{txt}{space 12}2018  {c |}{col 19}{res}{space 2} 5.333432{col 31}{space 2} .7933372{col 42}{space 1}    6.72{col 51}{space 3}0.000{col 59}{space 4} 3.778229{col 72}{space 3} 6.888634
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-3.030042{col 31}{space 2} 1.341047{col 42}{space 1}   -2.26{col 51}{space 3}0.024{col 59}{space 4}-5.658936{col 72}{space 3}-.4011477
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res}  4.937332
          {txt}sigma_e {c |} {res} 4.0417814
              {txt}rho {c |} {res} .59875473{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6486{txt}) = {res}68.11{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store europe5

. 
. 
. 
. xtreg polity i.Asia##i.edu_did_70 ln_gdp i.year if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Asia omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3103{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.1799{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.1983{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}75{txt},{res}6486{txt}){col 67}={col 70}{res}    38.90
{txt}corr(u_i, Xb){col 16}= {res}0.0874{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         polity{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Asia {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 3}1.edu_did_70 {c |}{col 17}{res}{space 2} 1.089283{col 29}{space 2} .2047149{col 40}{space 1}    5.32{col 49}{space 3}0.000{col 57}{space 4} .6879743{col 70}{space 3} 1.490592
{txt}{space 15} {c |}
Asia#edu_did_70 {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2}-1.746397{col 29}{space 2} .4021411{col 40}{space 1}   -4.34{col 49}{space 3}0.000{col 57}{space 4}-2.534726{col 70}{space 3}-.9580675
{txt}{space 15} {c |}
{space 9}ln_gdp {c |}{col 17}{res}{space 2} .3051331{col 29}{space 2} .1544272{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0024048{col 70}{space 3} .6078614
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1947  {c |}{col 17}{res}{space 2}-.0145546{col 29}{space 2} .8738605{col 40}{space 1}   -0.02{col 49}{space 3}0.987{col 57}{space 4}-1.727609{col 70}{space 3}   1.6985
{txt}{space 10}1948  {c |}{col 17}{res}{space 2}-.5548733{col 29}{space 2} .8555867{col 40}{space 1}   -0.65{col 49}{space 3}0.517{col 57}{space 4}-2.232106{col 70}{space 3} 1.122359
{txt}{space 10}1949  {c |}{col 17}{res}{space 2}-.3053917{col 29}{space 2} .8474679{col 40}{space 1}   -0.36{col 49}{space 3}0.719{col 57}{space 4}-1.966708{col 70}{space 3} 1.355925
{txt}{space 10}1950  {c |}{col 17}{res}{space 2}-.1290013{col 29}{space 2} .7986053{col 40}{space 1}   -0.16{col 49}{space 3}0.872{col 57}{space 4}-1.694531{col 70}{space 3} 1.436528
{txt}{space 10}1951  {c |}{col 17}{res}{space 2} .0723994{col 29}{space 2} .7939076{col 40}{space 1}    0.09{col 49}{space 3}0.927{col 57}{space 4}-1.483921{col 70}{space 3}  1.62872
{txt}{space 10}1952  {c |}{col 17}{res}{space 2} .1430161{col 29}{space 2} .7896729{col 40}{space 1}    0.18{col 49}{space 3}0.856{col 57}{space 4}-1.405003{col 70}{space 3} 1.691035
{txt}{space 10}1953  {c |}{col 17}{res}{space 2} .0193801{col 29}{space 2} .7878923{col 40}{space 1}    0.02{col 49}{space 3}0.980{col 57}{space 4}-1.525149{col 70}{space 3} 1.563909
{txt}{space 10}1954  {c |}{col 17}{res}{space 2}-.1870823{col 29}{space 2} .7880581{col 40}{space 1}   -0.24{col 49}{space 3}0.812{col 57}{space 4}-1.731936{col 70}{space 3} 1.357772
{txt}{space 10}1955  {c |}{col 17}{res}{space 2}-.1871981{col 29}{space 2} .7888836{col 40}{space 1}   -0.24{col 49}{space 3}0.812{col 57}{space 4} -1.73367{col 70}{space 3} 1.359274
{txt}{space 10}1956  {c |}{col 17}{res}{space 2} .5919426{col 29}{space 2} .7851593{col 40}{space 1}    0.75{col 49}{space 3}0.451{col 57}{space 4}-.9472285{col 70}{space 3} 2.131114
{txt}{space 10}1957  {c |}{col 17}{res}{space 2} .5952419{col 29}{space 2} .7815379{col 40}{space 1}    0.76{col 49}{space 3}0.446{col 57}{space 4}-.9368302{col 70}{space 3} 2.127314
{txt}{space 10}1958  {c |}{col 17}{res}{space 2}-.0010698{col 29}{space 2} .7836385{col 40}{space 1}   -0.00{col 49}{space 3}0.999{col 57}{space 4} -1.53726{col 70}{space 3}  1.53512
{txt}{space 10}1959  {c |}{col 17}{res}{space 2} .1902368{col 29}{space 2}  .782066{col 40}{space 1}    0.24{col 49}{space 3}0.808{col 57}{space 4} -1.34287{col 70}{space 3} 1.723344
{txt}{space 10}1960  {c |}{col 17}{res}{space 2} .5528734{col 29}{space 2} .7663491{col 40}{space 1}    0.72{col 49}{space 3}0.471{col 57}{space 4}-.9494236{col 70}{space 3}  2.05517
{txt}{space 10}1961  {c |}{col 17}{res}{space 2} .4586723{col 29}{space 2} .7638376{col 40}{space 1}    0.60{col 49}{space 3}0.548{col 57}{space 4}-1.038701{col 70}{space 3} 1.956046
{txt}{space 10}1962  {c |}{col 17}{res}{space 2} .3810288{col 29}{space 2} .7601955{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-1.109205{col 70}{space 3} 1.871263
{txt}{space 10}1963  {c |}{col 17}{res}{space 2} .4631915{col 29}{space 2} .7583923{col 40}{space 1}    0.61{col 49}{space 3}0.541{col 57}{space 4}-1.023507{col 70}{space 3} 1.949891
{txt}{space 10}1964  {c |}{col 17}{res}{space 2} .2015397{col 29}{space 2} .7565984{col 40}{space 1}    0.27{col 49}{space 3}0.790{col 57}{space 4}-1.281643{col 70}{space 3} 1.684722
{txt}{space 10}1965  {c |}{col 17}{res}{space 2}  .112061{col 29}{space 2} .7563448{col 40}{space 1}    0.15{col 49}{space 3}0.882{col 57}{space 4}-1.370624{col 70}{space 3} 1.594746
{txt}{space 10}1966  {c |}{col 17}{res}{space 2} -.072655{col 29}{space 2} .7556634{col 40}{space 1}   -0.10{col 49}{space 3}0.923{col 57}{space 4}-1.554004{col 70}{space 3} 1.408694
{txt}{space 10}1967  {c |}{col 17}{res}{space 2}-.3417807{col 29}{space 2} .7561048{col 40}{space 1}   -0.45{col 49}{space 3}0.651{col 57}{space 4}-1.823995{col 70}{space 3} 1.140434
{txt}{space 10}1968  {c |}{col 17}{res}{space 2}-.3584573{col 29}{space 2} .7555928{col 40}{space 1}   -0.47{col 49}{space 3}0.635{col 57}{space 4}-1.839668{col 70}{space 3} 1.122754
{txt}{space 10}1969  {c |}{col 17}{res}{space 2}-.5672828{col 29}{space 2} .7564614{col 40}{space 1}   -0.75{col 49}{space 3}0.453{col 57}{space 4}-2.050197{col 70}{space 3} .9156311
{txt}{space 10}1970  {c |}{col 17}{res}{space 2}-.6858298{col 29}{space 2} .7583538{col 40}{space 1}   -0.90{col 49}{space 3}0.366{col 57}{space 4}-2.172453{col 70}{space 3} .8007937
{txt}{space 10}1971  {c |}{col 17}{res}{space 2}-.9953074{col 29}{space 2} .7589994{col 40}{space 1}   -1.31{col 49}{space 3}0.190{col 57}{space 4}-2.483196{col 70}{space 3} .4925817
{txt}{space 10}1972  {c |}{col 17}{res}{space 2}-1.473475{col 29}{space 2} .7591199{col 40}{space 1}   -1.94{col 49}{space 3}0.052{col 57}{space 4}  -2.9616{col 70}{space 3} .0146508
{txt}{space 10}1973  {c |}{col 17}{res}{space 2}-1.308591{col 29}{space 2} .7601029{col 40}{space 1}   -1.72{col 49}{space 3}0.085{col 57}{space 4}-2.798644{col 70}{space 3}  .181461
{txt}{space 10}1974  {c |}{col 17}{res}{space 2}-1.243403{col 29}{space 2} .7607835{col 40}{space 1}   -1.63{col 49}{space 3}0.102{col 57}{space 4} -2.73479{col 70}{space 3} .2479834
{txt}{space 10}1975  {c |}{col 17}{res}{space 2}-1.163291{col 29}{space 2} .7612101{col 40}{space 1}   -1.53{col 49}{space 3}0.127{col 57}{space 4}-2.655514{col 70}{space 3} .3289316
{txt}{space 10}1976  {c |}{col 17}{res}{space 2}-1.405576{col 29}{space 2} .7630381{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4}-2.901383{col 70}{space 3} .0902302
{txt}{space 10}1977  {c |}{col 17}{res}{space 2}-1.458248{col 29}{space 2} .7632129{col 40}{space 1}   -1.91{col 49}{space 3}0.056{col 57}{space 4}-2.954397{col 70}{space 3} .0379013
{txt}{space 10}1978  {c |}{col 17}{res}{space 2}-1.089934{col 29}{space 2} .7642068{col 40}{space 1}   -1.43{col 49}{space 3}0.154{col 57}{space 4}-2.588031{col 70}{space 3} .4081637
{txt}{space 10}1979  {c |}{col 17}{res}{space 2}-.7172395{col 29}{space 2} .7690157{col 40}{space 1}   -0.93{col 49}{space 3}0.351{col 57}{space 4}-2.224764{col 70}{space 3} .7902849
{txt}{space 10}1980  {c |}{col 17}{res}{space 2}-.6576995{col 29}{space 2} .7670727{col 40}{space 1}   -0.86{col 49}{space 3}0.391{col 57}{space 4}-2.161415{col 70}{space 3} .8460161
{txt}{space 10}1981  {c |}{col 17}{res}{space 2}-.4992606{col 29}{space 2} .7678088{col 40}{space 1}   -0.65{col 49}{space 3}0.516{col 57}{space 4}-2.004419{col 70}{space 3} 1.005898
{txt}{space 10}1982  {c |}{col 17}{res}{space 2}-.4500932{col 29}{space 2} .7669139{col 40}{space 1}   -0.59{col 49}{space 3}0.557{col 57}{space 4}-1.953497{col 70}{space 3} 1.053311
{txt}{space 10}1983  {c |}{col 17}{res}{space 2}-.1662331{col 29}{space 2} .7674531{col 40}{space 1}   -0.22{col 49}{space 3}0.829{col 57}{space 4}-1.670694{col 70}{space 3} 1.338228
{txt}{space 10}1984  {c |}{col 17}{res}{space 2}-.0592812{col 29}{space 2}  .767019{col 40}{space 1}   -0.08{col 49}{space 3}0.938{col 57}{space 4}-1.562891{col 70}{space 3} 1.444329
{txt}{space 10}1985  {c |}{col 17}{res}{space 2} .2955385{col 29}{space 2} .7674971{col 40}{space 1}    0.39{col 49}{space 3}0.700{col 57}{space 4}-1.209009{col 70}{space 3} 1.800086
{txt}{space 10}1986  {c |}{col 17}{res}{space 2} .5327222{col 29}{space 2} .7686651{col 40}{space 1}    0.69{col 49}{space 3}0.488{col 57}{space 4} -.974115{col 70}{space 3} 2.039559
{txt}{space 10}1987  {c |}{col 17}{res}{space 2} .6745207{col 29}{space 2}  .768959{col 40}{space 1}    0.88{col 49}{space 3}0.380{col 57}{space 4}-.8328926{col 70}{space 3} 2.181934
{txt}{space 10}1988  {c |}{col 17}{res}{space 2} 1.093062{col 29}{space 2}  .769444{col 40}{space 1}    1.42{col 49}{space 3}0.155{col 57}{space 4}-.4153021{col 70}{space 3} 2.601426
{txt}{space 10}1989  {c |}{col 17}{res}{space 2} 1.741671{col 29}{space 2} .7665153{col 40}{space 1}    2.27{col 49}{space 3}0.023{col 57}{space 4} .2390487{col 70}{space 3} 3.244294
{txt}{space 10}1990  {c |}{col 17}{res}{space 2} 2.498615{col 29}{space 2} .7683529{col 40}{space 1}    3.25{col 49}{space 3}0.001{col 57}{space 4} .9923904{col 70}{space 3}  4.00484
{txt}{space 10}1991  {c |}{col 17}{res}{space 2} 3.003493{col 29}{space 2} .7666235{col 40}{space 1}    3.92{col 49}{space 3}0.000{col 57}{space 4} 1.500658{col 70}{space 3} 4.506328
{txt}{space 10}1992  {c |}{col 17}{res}{space 2} 3.435026{col 29}{space 2} .7660459{col 40}{space 1}    4.48{col 49}{space 3}0.000{col 57}{space 4} 1.933323{col 70}{space 3} 4.936728
{txt}{space 10}1993  {c |}{col 17}{res}{space 2} 3.702826{col 29}{space 2} .7661023{col 40}{space 1}    4.83{col 49}{space 3}0.000{col 57}{space 4} 2.201013{col 70}{space 3}  5.20464
{txt}{space 10}1994  {c |}{col 17}{res}{space 2} 3.982768{col 29}{space 2}  .765779{col 40}{space 1}    5.20{col 49}{space 3}0.000{col 57}{space 4} 2.481589{col 70}{space 3} 5.483947
{txt}{space 10}1995  {c |}{col 17}{res}{space 2} 4.006721{col 29}{space 2} .7679276{col 40}{space 1}    5.22{col 49}{space 3}0.000{col 57}{space 4}  2.50133{col 70}{space 3} 5.512112
{txt}{space 10}1996  {c |}{col 17}{res}{space 2} 4.006735{col 29}{space 2} .7691521{col 40}{space 1}    5.21{col 49}{space 3}0.000{col 57}{space 4} 2.498943{col 70}{space 3} 5.514527
{txt}{space 10}1997  {c |}{col 17}{res}{space 2} 4.127578{col 29}{space 2} .7714298{col 40}{space 1}    5.35{col 49}{space 3}0.000{col 57}{space 4} 2.615321{col 70}{space 3} 5.639835
{txt}{space 10}1998  {c |}{col 17}{res}{space 2} 4.277861{col 29}{space 2} .7711988{col 40}{space 1}    5.55{col 49}{space 3}0.000{col 57}{space 4} 2.766057{col 70}{space 3} 5.789665
{txt}{space 10}1999  {c |}{col 17}{res}{space 2} 4.401117{col 29}{space 2} .7732377{col 40}{space 1}    5.69{col 49}{space 3}0.000{col 57}{space 4} 2.885316{col 70}{space 3} 5.916918
{txt}{space 10}2000  {c |}{col 17}{res}{space 2} 4.550192{col 29}{space 2} .7752561{col 40}{space 1}    5.87{col 49}{space 3}0.000{col 57}{space 4} 3.030434{col 70}{space 3}  6.06995
{txt}{space 10}2001  {c |}{col 17}{res}{space 2} 4.707617{col 29}{space 2} .7778979{col 40}{space 1}    6.05{col 49}{space 3}0.000{col 57}{space 4} 3.182681{col 70}{space 3} 6.232554
{txt}{space 10}2002  {c |}{col 17}{res}{space 2} 4.651297{col 29}{space 2}   .78022{col 40}{space 1}    5.96{col 49}{space 3}0.000{col 57}{space 4} 3.121809{col 70}{space 3} 6.180786
{txt}{space 10}2003  {c |}{col 17}{res}{space 2}  4.74492{col 29}{space 2} .7813172{col 40}{space 1}    6.07{col 49}{space 3}0.000{col 57}{space 4} 3.213281{col 70}{space 3}  6.27656
{txt}{space 10}2004  {c |}{col 17}{res}{space 2} 4.805389{col 29}{space 2}  .784324{col 40}{space 1}    6.13{col 49}{space 3}0.000{col 57}{space 4} 3.267855{col 70}{space 3} 6.342923
{txt}{space 10}2005  {c |}{col 17}{res}{space 2}  4.91469{col 29}{space 2} .7872546{col 40}{space 1}    6.24{col 49}{space 3}0.000{col 57}{space 4} 3.371411{col 70}{space 3} 6.457969
{txt}{space 10}2006  {c |}{col 17}{res}{space 2} 4.935882{col 29}{space 2} .7896908{col 40}{space 1}    6.25{col 49}{space 3}0.000{col 57}{space 4} 3.387828{col 70}{space 3} 6.483937
{txt}{space 10}2007  {c |}{col 17}{res}{space 2} 4.861037{col 29}{space 2} .7904671{col 40}{space 1}    6.15{col 49}{space 3}0.000{col 57}{space 4}  3.31146{col 70}{space 3} 6.410613
{txt}{space 10}2008  {c |}{col 17}{res}{space 2} 5.002808{col 29}{space 2}  .791801{col 40}{space 1}    6.32{col 49}{space 3}0.000{col 57}{space 4} 3.450617{col 70}{space 3} 6.554999
{txt}{space 10}2009  {c |}{col 17}{res}{space 2}  5.02345{col 29}{space 2} .7911994{col 40}{space 1}    6.35{col 49}{space 3}0.000{col 57}{space 4} 3.472438{col 70}{space 3} 6.574462
{txt}{space 10}2010  {c |}{col 17}{res}{space 2} 5.034475{col 29}{space 2} .7928135{col 40}{space 1}    6.35{col 49}{space 3}0.000{col 57}{space 4} 3.480299{col 70}{space 3} 6.588651
{txt}{space 10}2011  {c |}{col 17}{res}{space 2} 5.310772{col 29}{space 2} .7940704{col 40}{space 1}    6.69{col 49}{space 3}0.000{col 57}{space 4} 3.754132{col 70}{space 3} 6.867411
{txt}{space 10}2012  {c |}{col 17}{res}{space 2} 5.281513{col 29}{space 2} .7962494{col 40}{space 1}    6.63{col 49}{space 3}0.000{col 57}{space 4} 3.720601{col 70}{space 3} 6.842424
{txt}{space 10}2013  {c |}{col 17}{res}{space 2} 5.445659{col 29}{space 2} .7969703{col 40}{space 1}    6.83{col 49}{space 3}0.000{col 57}{space 4} 3.883334{col 70}{space 3} 7.007984
{txt}{space 10}2014  {c |}{col 17}{res}{space 2}  5.22465{col 29}{space 2} .7979043{col 40}{space 1}    6.55{col 49}{space 3}0.000{col 57}{space 4} 3.660495{col 70}{space 3} 6.788806
{txt}{space 10}2015  {c |}{col 17}{res}{space 2} 5.319937{col 29}{space 2} .7968303{col 40}{space 1}    6.68{col 49}{space 3}0.000{col 57}{space 4} 3.757887{col 70}{space 3} 6.881987
{txt}{space 10}2016  {c |}{col 17}{res}{space 2}  5.22844{col 29}{space 2} .7975506{col 40}{space 1}    6.56{col 49}{space 3}0.000{col 57}{space 4} 3.664978{col 70}{space 3} 6.791902
{txt}{space 10}2017  {c |}{col 17}{res}{space 2} 5.181951{col 29}{space 2} .7988386{col 40}{space 1}    6.49{col 49}{space 3}0.000{col 57}{space 4} 3.615964{col 70}{space 3} 6.747938
{txt}{space 10}2018  {c |}{col 17}{res}{space 2} 5.175414{col 29}{space 2} .7982582{col 40}{space 1}    6.48{col 49}{space 3}0.000{col 57}{space 4} 3.610565{col 70}{space 3} 6.740264
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.925554{col 29}{space 2}   1.3524{col 40}{space 1}   -2.16{col 49}{space 3}0.031{col 57}{space 4}-5.576703{col 70}{space 3} -.274404
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        sigma_u {c |} {res} 5.1982021
        {txt}sigma_e {c |} {res} 4.0517806
            {txt}rho {c |} {res} .62206274{txt}   (fraction of variance due to u_i)
{hline 16}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6486{txt}) = {res}69.52{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store asia6

. 
. 
. 
. xtreg polity i.Latin##i.edu_did_70 ln_gdp i.year if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Latin omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3129{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.1082{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.1727{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}75{txt},{res}6486{txt}){col 67}={col 70}{res}    39.39
{txt}corr(u_i, Xb){col 16}= {res}0.0372{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          polity{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Latin {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 4}1.edu_did_70 {c |}{col 18}{res}{space 2} .1742055{col 30}{space 2} .2055398{col 41}{space 1}    0.85{col 50}{space 3}0.397{col 58}{space 4}-.2287203{col 71}{space 3} .5771313
{txt}{space 16} {c |}
Latin#edu_did_70 {c |}
{space 12}1 1  {c |}{col 18}{res}{space 2} 2.434135{col 30}{space 2} .3668952{col 41}{space 1}    6.63{col 50}{space 3}0.000{col 58}{space 4}   1.7149{col 71}{space 3} 3.153371
{txt}{space 16} {c |}
{space 10}ln_gdp {c |}{col 18}{res}{space 2} .3077354{col 30}{space 2} .1527759{col 41}{space 1}    2.01{col 50}{space 3}0.044{col 58}{space 4} .0082443{col 71}{space 3} .6072265
{txt}{space 16} {c |}
{space 12}year {c |}
{space 11}1947  {c |}{col 18}{res}{space 2}-.0146787{col 30}{space 2} .8721751{col 41}{space 1}   -0.02{col 50}{space 3}0.987{col 58}{space 4} -1.72443{col 71}{space 3} 1.695072
{txt}{space 11}1948  {c |}{col 18}{res}{space 2}-.5430252{col 30}{space 2} .8538074{col 41}{space 1}   -0.64{col 50}{space 3}0.525{col 58}{space 4}-2.216769{col 71}{space 3} 1.130719
{txt}{space 11}1949  {c |}{col 18}{res}{space 2}-.2942507{col 30}{space 2} .8456322{col 41}{space 1}   -0.35{col 50}{space 3}0.728{col 58}{space 4}-1.951969{col 71}{space 3} 1.363467
{txt}{space 11}1950  {c |}{col 18}{res}{space 2} -.253928{col 30}{space 2} .7974476{col 41}{space 1}   -0.32{col 50}{space 3}0.750{col 58}{space 4}-1.817188{col 71}{space 3} 1.309332
{txt}{space 11}1951  {c |}{col 18}{res}{space 2}-.0756488{col 30}{space 2} .7929281{col 41}{space 1}   -0.10{col 50}{space 3}0.924{col 58}{space 4}-1.630049{col 71}{space 3} 1.478752
{txt}{space 11}1952  {c |}{col 18}{res}{space 2}-.0026233{col 30}{space 2} .7886833{col 41}{space 1}   -0.00{col 50}{space 3}0.997{col 58}{space 4}-1.548703{col 71}{space 3} 1.543456
{txt}{space 11}1953  {c |}{col 18}{res}{space 2} -.123052{col 30}{space 2} .7868712{col 41}{space 1}   -0.16{col 50}{space 3}0.876{col 58}{space 4}-1.665579{col 71}{space 3} 1.419475
{txt}{space 11}1954  {c |}{col 18}{res}{space 2}-.3295695{col 30}{space 2} .7870341{col 41}{space 1}   -0.42{col 50}{space 3}0.675{col 58}{space 4}-1.872416{col 71}{space 3} 1.213277
{txt}{space 11}1955  {c |}{col 18}{res}{space 2}-.3817945{col 30}{space 2} .7883158{col 41}{space 1}   -0.48{col 50}{space 3}0.628{col 58}{space 4}-1.927153{col 71}{space 3} 1.163564
{txt}{space 11}1956  {c |}{col 18}{res}{space 2}  .379736{col 30}{space 2}   .78479{col 41}{space 1}    0.48{col 50}{space 3}0.628{col 58}{space 4}-1.158711{col 71}{space 3} 1.918183
{txt}{space 11}1957  {c |}{col 18}{res}{space 2}  .392121{col 30}{space 2} .7810695{col 41}{space 1}    0.50{col 50}{space 3}0.616{col 58}{space 4}-1.139033{col 71}{space 3} 1.923275
{txt}{space 11}1958  {c |}{col 18}{res}{space 2}-.1939419{col 30}{space 2} .7830434{col 41}{space 1}   -0.25{col 50}{space 3}0.804{col 58}{space 4}-1.728965{col 71}{space 3} 1.341081
{txt}{space 11}1959  {c |}{col 18}{res}{space 2}-.0039669{col 30}{space 2}  .781486{col 41}{space 1}   -0.01{col 50}{space 3}0.996{col 58}{space 4}-1.535937{col 71}{space 3} 1.528003
{txt}{space 11}1960  {c |}{col 18}{res}{space 2} .2910666{col 30}{space 2} .7666435{col 41}{space 1}    0.38{col 50}{space 3}0.704{col 58}{space 4}-1.211808{col 71}{space 3} 1.793941
{txt}{space 11}1961  {c |}{col 18}{res}{space 2} .1858609{col 30}{space 2} .7642864{col 41}{space 1}    0.24{col 50}{space 3}0.808{col 58}{space 4}-1.312393{col 71}{space 3} 1.684114
{txt}{space 11}1962  {c |}{col 18}{res}{space 2} .0961556{col 30}{space 2}  .760823{col 41}{space 1}    0.13{col 50}{space 3}0.899{col 58}{space 4}-1.395308{col 71}{space 3}  1.58762
{txt}{space 11}1963  {c |}{col 18}{res}{space 2} .1632352{col 30}{space 2} .7592399{col 41}{space 1}    0.21{col 50}{space 3}0.830{col 58}{space 4}-1.325125{col 71}{space 3} 1.651596
{txt}{space 11}1964  {c |}{col 18}{res}{space 2}-.1113578{col 30}{space 2} .7576421{col 41}{space 1}   -0.15{col 50}{space 3}0.883{col 58}{space 4}-1.596586{col 71}{space 3} 1.373871
{txt}{space 11}1965  {c |}{col 18}{res}{space 2}-.2007605{col 30}{space 2} .7574179{col 41}{space 1}   -0.27{col 50}{space 3}0.791{col 58}{space 4}-1.685549{col 71}{space 3} 1.284028
{txt}{space 11}1966  {c |}{col 18}{res}{space 2}-.3914691{col 30}{space 2} .7568324{col 41}{space 1}   -0.52{col 50}{space 3}0.605{col 58}{space 4} -1.87511{col 71}{space 3} 1.092172
{txt}{space 11}1967  {c |}{col 18}{res}{space 2}-.6606457{col 30}{space 2}  .757277{col 41}{space 1}   -0.87{col 50}{space 3}0.383{col 58}{space 4}-2.145158{col 71}{space 3}  .823867
{txt}{space 11}1968  {c |}{col 18}{res}{space 2}-.6770639{col 30}{space 2} .7567702{col 41}{space 1}   -0.89{col 50}{space 3}0.371{col 58}{space 4}-2.160583{col 71}{space 3} .8064553
{txt}{space 11}1969  {c |}{col 18}{res}{space 2}-.8859823{col 30}{space 2} .7576433{col 41}{space 1}   -1.17{col 50}{space 3}0.242{col 58}{space 4}-2.371213{col 71}{space 3} .5992483
{txt}{space 11}1970  {c |}{col 18}{res}{space 2}-.9981233{col 30}{space 2} .7594527{col 41}{space 1}   -1.31{col 50}{space 3}0.189{col 58}{space 4}-2.486901{col 71}{space 3} .4906545
{txt}{space 11}1971  {c |}{col 18}{res}{space 2}-1.307664{col 30}{space 2} .7600972{col 41}{space 1}   -1.72{col 50}{space 3}0.085{col 58}{space 4}-2.797705{col 71}{space 3} .1823772
{txt}{space 11}1972  {c |}{col 18}{res}{space 2}  -1.7822{col 30}{space 2} .7601595{col 41}{space 1}   -2.34{col 50}{space 3}0.019{col 58}{space 4}-3.272363{col 71}{space 3}-.2920365
{txt}{space 11}1973  {c |}{col 18}{res}{space 2}-1.617405{col 30}{space 2} .7611378{col 41}{space 1}   -2.12{col 50}{space 3}0.034{col 58}{space 4}-3.109486{col 71}{space 3}-.1253239
{txt}{space 11}1974  {c |}{col 18}{res}{space 2}-1.552276{col 30}{space 2} .7618149{col 41}{space 1}   -2.04{col 50}{space 3}0.042{col 58}{space 4}-3.045685{col 71}{space 3} -.058868
{txt}{space 11}1975  {c |}{col 18}{res}{space 2}-1.466802{col 30}{space 2} .7621523{col 41}{space 1}   -1.92{col 50}{space 3}0.054{col 58}{space 4}-2.960872{col 71}{space 3} .0272681
{txt}{space 11}1976  {c |}{col 18}{res}{space 2}-1.709239{col 30}{space 2}  .763969{col 41}{space 1}   -2.24{col 50}{space 3}0.025{col 58}{space 4} -3.20687{col 71}{space 3}-.2116072
{txt}{space 11}1977  {c |}{col 18}{res}{space 2}-1.761924{col 30}{space 2} .7641427{col 41}{space 1}   -2.31{col 50}{space 3}0.021{col 58}{space 4}-3.259896{col 71}{space 3}-.2639525
{txt}{space 11}1978  {c |}{col 18}{res}{space 2}-1.393689{col 30}{space 2} .7651297{col 41}{space 1}   -1.82{col 50}{space 3}0.069{col 58}{space 4}-2.893595{col 71}{space 3} .1062176
{txt}{space 11}1979  {c |}{col 18}{res}{space 2}-1.023382{col 30}{space 2} .7699547{col 41}{space 1}   -1.33{col 50}{space 3}0.184{col 58}{space 4}-2.532748{col 71}{space 3} .4859828
{txt}{space 11}1980  {c |}{col 18}{res}{space 2}-.9719545{col 30}{space 2} .7681595{col 41}{space 1}   -1.27{col 50}{space 3}0.206{col 58}{space 4}  -2.4778{col 71}{space 3} .5338914
{txt}{space 11}1981  {c |}{col 18}{res}{space 2}-.8135712{col 30}{space 2} .7688916{col 41}{space 1}   -1.06{col 50}{space 3}0.290{col 58}{space 4}-2.320852{col 71}{space 3} .6937099
{txt}{space 11}1982  {c |}{col 18}{res}{space 2}-.7643361{col 30}{space 2} .7680015{col 41}{space 1}   -1.00{col 50}{space 3}0.320{col 58}{space 4}-2.269872{col 71}{space 3}    .7412
{txt}{space 11}1983  {c |}{col 18}{res}{space 2} -.480517{col 30}{space 2} .7685379{col 41}{space 1}   -0.63{col 50}{space 3}0.532{col 58}{space 4}-1.987105{col 71}{space 3} 1.026071
{txt}{space 11}1984  {c |}{col 18}{res}{space 2}-.3735321{col 30}{space 2}  .768106{col 41}{space 1}   -0.49{col 50}{space 3}0.627{col 58}{space 4}-1.879273{col 71}{space 3} 1.132209
{txt}{space 11}1985  {c |}{col 18}{res}{space 2}-.0178622{col 30}{space 2} .7685689{col 41}{space 1}   -0.02{col 50}{space 3}0.981{col 58}{space 4}-1.524511{col 71}{space 3} 1.488786
{txt}{space 11}1986  {c |}{col 18}{res}{space 2} .2192342{col 30}{space 2} .7697322{col 41}{space 1}    0.28{col 50}{space 3}0.776{col 58}{space 4}-1.289695{col 71}{space 3} 1.728163
{txt}{space 11}1987  {c |}{col 18}{res}{space 2} .3610111{col 30}{space 2} .7700248{col 41}{space 1}    0.47{col 50}{space 3}0.639{col 58}{space 4}-1.148492{col 71}{space 3} 1.870514
{txt}{space 11}1988  {c |}{col 18}{res}{space 2} .7795169{col 30}{space 2} .7705075{col 41}{space 1}    1.01{col 50}{space 3}0.312{col 58}{space 4} -.730932{col 71}{space 3} 2.289966
{txt}{space 11}1989  {c |}{col 18}{res}{space 2} 1.433561{col 30}{space 2} .7675029{col 41}{space 1}    1.87{col 50}{space 3}0.062{col 58}{space 4}-.0709978{col 71}{space 3}  2.93812
{txt}{space 11}1990  {c |}{col 18}{res}{space 2} 2.197614{col 30}{space 2} .7692198{col 41}{space 1}    2.86{col 50}{space 3}0.004{col 58}{space 4} .6896894{col 71}{space 3} 3.705538
{txt}{space 11}1991  {c |}{col 18}{res}{space 2} 2.705509{col 30}{space 2} .7674517{col 41}{space 1}    3.53{col 50}{space 3}0.000{col 58}{space 4} 1.201051{col 71}{space 3} 4.209968
{txt}{space 11}1992  {c |}{col 18}{res}{space 2} 3.137302{col 30}{space 2} .7668719{col 41}{space 1}    4.09{col 50}{space 3}0.000{col 58}{space 4} 1.633981{col 71}{space 3} 4.640624
{txt}{space 11}1993  {c |}{col 18}{res}{space 2} 3.405325{col 30}{space 2} .7669222{col 41}{space 1}    4.44{col 50}{space 3}0.000{col 58}{space 4} 1.901905{col 71}{space 3} 4.908745
{txt}{space 11}1994  {c |}{col 18}{res}{space 2}  3.68529{col 30}{space 2} .7666008{col 41}{space 1}    4.81{col 50}{space 3}0.000{col 58}{space 4} 2.182499{col 71}{space 3}  5.18808
{txt}{space 11}1995  {c |}{col 18}{res}{space 2}  3.70401{col 30}{space 2} .7688225{col 41}{space 1}    4.82{col 50}{space 3}0.000{col 58}{space 4} 2.196865{col 71}{space 3} 5.211156
{txt}{space 11}1996  {c |}{col 18}{res}{space 2}  3.70394{col 30}{space 2} .7700398{col 41}{space 1}    4.81{col 50}{space 3}0.000{col 58}{space 4} 2.194408{col 71}{space 3} 5.213472
{txt}{space 11}1997  {c |}{col 18}{res}{space 2} 3.824631{col 30}{space 2} .7723028{col 41}{space 1}    4.95{col 50}{space 3}0.000{col 58}{space 4} 2.310663{col 71}{space 3} 5.338599
{txt}{space 11}1998  {c |}{col 18}{res}{space 2} 3.974929{col 30}{space 2} .7720733{col 41}{space 1}    5.15{col 50}{space 3}0.000{col 58}{space 4} 2.461411{col 71}{space 3} 5.488447
{txt}{space 11}1999  {c |}{col 18}{res}{space 2} 4.098054{col 30}{space 2} .7740978{col 41}{space 1}    5.29{col 50}{space 3}0.000{col 58}{space 4} 2.580567{col 71}{space 3} 5.615541
{txt}{space 11}2000  {c |}{col 18}{res}{space 2} 4.260086{col 30}{space 2} .7758884{col 41}{space 1}    5.49{col 50}{space 3}0.000{col 58}{space 4} 2.739089{col 71}{space 3} 5.781083
{txt}{space 11}2001  {c |}{col 18}{res}{space 2} 4.416298{col 30}{space 2} .7785326{col 41}{space 1}    5.67{col 50}{space 3}0.000{col 58}{space 4} 2.890118{col 71}{space 3} 5.942479
{txt}{space 11}2002  {c |}{col 18}{res}{space 2} 4.359839{col 30}{space 2}  .780834{col 41}{space 1}    5.58{col 50}{space 3}0.000{col 58}{space 4} 2.829147{col 71}{space 3} 5.890531
{txt}{space 11}2003  {c |}{col 18}{res}{space 2} 4.449559{col 30}{space 2} .7819924{col 41}{space 1}    5.69{col 50}{space 3}0.000{col 58}{space 4} 2.916596{col 71}{space 3} 5.982522
{txt}{space 11}2004  {c |}{col 18}{res}{space 2} 4.509854{col 30}{space 2}  .784972{col 41}{space 1}    5.75{col 50}{space 3}0.000{col 58}{space 4}  2.97105{col 71}{space 3} 6.048658
{txt}{space 11}2005  {c |}{col 18}{res}{space 2} 4.666191{col 30}{space 2}  .787109{col 41}{space 1}    5.93{col 50}{space 3}0.000{col 58}{space 4} 3.123198{col 71}{space 3} 6.209184
{txt}{space 11}2006  {c |}{col 18}{res}{space 2} 4.687254{col 30}{space 2} .7895043{col 41}{space 1}    5.94{col 50}{space 3}0.000{col 58}{space 4} 3.139565{col 71}{space 3} 6.234942
{txt}{space 11}2007  {c |}{col 18}{res}{space 2} 4.612367{col 30}{space 2} .7902705{col 41}{space 1}    5.84{col 50}{space 3}0.000{col 58}{space 4} 3.063176{col 71}{space 3} 6.161558
{txt}{space 11}2008  {c |}{col 18}{res}{space 2} 4.754068{col 30}{space 2} .7915869{col 41}{space 1}    6.01{col 50}{space 3}0.000{col 58}{space 4} 3.202297{col 71}{space 3}  6.30584
{txt}{space 11}2009  {c |}{col 18}{res}{space 2} 4.772912{col 30}{space 2} .7910131{col 41}{space 1}    6.03{col 50}{space 3}0.000{col 58}{space 4} 3.222266{col 71}{space 3} 6.323559
{txt}{space 11}2010  {c |}{col 18}{res}{space 2} 4.798107{col 30}{space 2} .7923614{col 41}{space 1}    6.06{col 50}{space 3}0.000{col 58}{space 4} 3.244817{col 71}{space 3} 6.351397
{txt}{space 11}2011  {c |}{col 18}{res}{space 2} 5.073812{col 30}{space 2} .7935966{col 41}{space 1}    6.39{col 50}{space 3}0.000{col 58}{space 4} 3.518101{col 71}{space 3} 6.629523
{txt}{space 11}2012  {c |}{col 18}{res}{space 2} 5.044971{col 30}{space 2} .7957481{col 41}{space 1}    6.34{col 50}{space 3}0.000{col 58}{space 4} 3.485043{col 71}{space 3}   6.6049
{txt}{space 11}2013  {c |}{col 18}{res}{space 2} 5.209082{col 30}{space 2} .7964585{col 41}{space 1}    6.54{col 50}{space 3}0.000{col 58}{space 4} 3.647761{col 71}{space 3} 6.770403
{txt}{space 11}2014  {c |}{col 18}{res}{space 2} 4.980923{col 30}{space 2} .7975541{col 41}{space 1}    6.25{col 50}{space 3}0.000{col 58}{space 4} 3.417454{col 71}{space 3} 6.544392
{txt}{space 11}2015  {c |}{col 18}{res}{space 2} 5.076263{col 30}{space 2} .7964943{col 41}{space 1}    6.37{col 50}{space 3}0.000{col 58}{space 4} 3.514871{col 71}{space 3} 6.637654
{txt}{space 11}2016  {c |}{col 18}{res}{space 2} 4.984195{col 30}{space 2}  .797202{col 41}{space 1}    6.25{col 50}{space 3}0.000{col 58}{space 4} 3.421416{col 71}{space 3} 6.546974
{txt}{space 11}2017  {c |}{col 18}{res}{space 2} 4.937644{col 30}{space 2} .7984728{col 41}{space 1}    6.18{col 50}{space 3}0.000{col 58}{space 4} 3.372374{col 71}{space 3} 6.502914
{txt}{space 11}2018  {c |}{col 18}{res}{space 2} 4.931135{col 30}{space 2} .7979001{col 41}{space 1}    6.18{col 50}{space 3}0.000{col 58}{space 4} 3.366988{col 71}{space 3} 6.495283
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-2.598527{col 30}{space 2} 1.337306{col 41}{space 1}   -1.94{col 50}{space 3}0.052{col 58}{space 4}-5.220088{col 71}{space 3} .0230339
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         sigma_u {c |} {res} 5.2933817
         {txt}sigma_e {c |} {res} 4.0439686
             {txt}rho {c |} {res} .63145446{txt}   (fraction of variance due to u_i)
{hline 17}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6486{txt}) = {res}69.81{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store latin7

. 
. 
. 
. xtreg polity i.Africa##i.edu_did_70 ln_gdp i.year if word_war ==1, fe i(country_1)
{p 0 6 2}{txt}note: 1.Africa omitted because of collinearity{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     6,663
{txt}Group variable: {res}country_1{txt}{col 49}Number of groups{col 67}={col 69}{res}       102

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.3094{col 63}{txt}min{col 67}={col 69}{res}        13
{txt}     between = {res}0.0825{col 63}{txt}avg{col 67}={col 69}{res}      65.3
{txt}     overall = {res}0.1613{col 63}{txt}max{col 67}={col 69}{res}        73

{txt}{col 49}F({res}75{txt},{res}6486{txt}){col 67}={col 70}{res}    38.75
{txt}corr(u_i, Xb){col 16}= {res}0.0379{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           polity{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Africa {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 5}1.edu_did_70 {c |}{col 19}{res}{space 2} .3993524{col 31}{space 2} .2134102{col 42}{space 1}    1.87{col 51}{space 3}0.061{col 59}{space 4} -.019002{col 72}{space 3} .8177068
{txt}{space 17} {c |}
Africa#edu_did_70 {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} 1.183922{col 31}{space 2} .3575007{col 42}{space 1}    3.31{col 51}{space 3}0.001{col 59}{space 4} .4831027{col 72}{space 3} 1.884741
{txt}{space 17} {c |}
{space 11}ln_gdp {c |}{col 19}{res}{space 2} .2712608{col 31}{space 2} .1542308{col 42}{space 1}    1.76{col 51}{space 3}0.079{col 59}{space 4}-.0310824{col 72}{space 3}  .573604
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}1947  {c |}{col 19}{res}{space 2}-.0129389{col 31}{space 2}  .874391{col 42}{space 1}   -0.01{col 51}{space 3}0.988{col 59}{space 4}-1.727034{col 72}{space 3} 1.701156
{txt}{space 12}1948  {c |}{col 19}{res}{space 2}  -.48944{col 31}{space 2} .8559262{col 42}{space 1}   -0.57{col 51}{space 3}0.567{col 59}{space 4}-2.167338{col 72}{space 3} 1.188458
{txt}{space 12}1949  {c |}{col 19}{res}{space 2}-.2195672{col 31}{space 2} .8476857{col 42}{space 1}   -0.26{col 51}{space 3}0.796{col 59}{space 4}-1.881311{col 72}{space 3} 1.442176
{txt}{space 12}1950  {c |}{col 19}{res}{space 2} .0062654{col 31}{space 2} .7986735{col 42}{space 1}    0.01{col 51}{space 3}0.994{col 59}{space 4}-1.559398{col 72}{space 3} 1.571929
{txt}{space 12}1951  {c |}{col 19}{res}{space 2} .1969261{col 31}{space 2} .7939962{col 42}{space 1}    0.25{col 51}{space 3}0.804{col 59}{space 4}-1.359568{col 72}{space 3}  1.75342
{txt}{space 12}1952  {c |}{col 19}{res}{space 2} .2790214{col 31}{space 2} .7896526{col 42}{space 1}    0.35{col 51}{space 3}0.724{col 59}{space 4}-1.268958{col 72}{space 3} 1.827001
{txt}{space 12}1953  {c |}{col 19}{res}{space 2} .1645065{col 31}{space 2} .7877467{col 42}{space 1}    0.21{col 51}{space 3}0.835{col 59}{space 4}-1.379737{col 72}{space 3}  1.70875
{txt}{space 12}1954  {c |}{col 19}{res}{space 2}-.0412385{col 31}{space 2} .7878877{col 42}{space 1}   -0.05{col 51}{space 3}0.958{col 59}{space 4}-1.585758{col 72}{space 3} 1.503281
{txt}{space 12}1955  {c |}{col 19}{res}{space 2}-.0008973{col 31}{space 2} .7885001{col 42}{space 1}   -0.00{col 51}{space 3}0.999{col 59}{space 4}-1.546618{col 72}{space 3} 1.544823
{txt}{space 12}1956  {c |}{col 19}{res}{space 2} .7830168{col 31}{space 2} .7848039{col 42}{space 1}    1.00{col 51}{space 3}0.318{col 59}{space 4}-.7554576{col 72}{space 3} 2.321491
{txt}{space 12}1957  {c |}{col 19}{res}{space 2} .8016948{col 31}{space 2} .7809316{col 42}{space 1}    1.03{col 51}{space 3}0.305{col 59}{space 4}-.7291887{col 72}{space 3} 2.332578
{txt}{space 12}1958  {c |}{col 19}{res}{space 2} .2122375{col 31}{space 2} .7829821{col 42}{space 1}    0.27{col 51}{space 3}0.786{col 59}{space 4}-1.322666{col 72}{space 3} 1.747141
{txt}{space 12}1959  {c |}{col 19}{res}{space 2} .4048819{col 31}{space 2} .7813668{col 42}{space 1}    0.52{col 51}{space 3}0.604{col 59}{space 4}-1.126855{col 72}{space 3} 1.936619
{txt}{space 12}1960  {c |}{col 19}{res}{space 2} .7852839{col 31}{space 2} .7659958{col 42}{space 1}    1.03{col 51}{space 3}0.305{col 59}{space 4}-.7163205{col 72}{space 3} 2.286888
{txt}{space 12}1961  {c |}{col 19}{res}{space 2} .6879568{col 31}{space 2} .7634608{col 42}{space 1}    0.90{col 51}{space 3}0.368{col 59}{space 4}-.8086781{col 72}{space 3} 2.184592
{txt}{space 12}1962  {c |}{col 19}{res}{space 2} .6082055{col 31}{space 2} .7597999{col 42}{space 1}    0.80{col 51}{space 3}0.423{col 59}{space 4}-.8812529{col 72}{space 3} 2.097664
{txt}{space 12}1963  {c |}{col 19}{res}{space 2} .6816098{col 31}{space 2} .7579247{col 42}{space 1}    0.90{col 51}{space 3}0.369{col 59}{space 4}-.8041726{col 72}{space 3} 2.167392
{txt}{space 12}1964  {c |}{col 19}{res}{space 2} .4293184{col 31}{space 2} .7561756{col 42}{space 1}    0.57{col 51}{space 3}0.570{col 59}{space 4}-1.053035{col 72}{space 3} 1.911672
{txt}{space 12}1965  {c |}{col 19}{res}{space 2} .3648771{col 31}{space 2} .7558416{col 42}{space 1}    0.48{col 51}{space 3}0.629{col 59}{space 4}-1.116822{col 72}{space 3} 1.846576
{txt}{space 12}1966  {c |}{col 19}{res}{space 2} .1844842{col 31}{space 2} .7551749{col 42}{space 1}    0.24{col 51}{space 3}0.807{col 59}{space 4}-1.295908{col 72}{space 3} 1.664876
{txt}{space 12}1967  {c |}{col 19}{res}{space 2} -.083979{col 31}{space 2} .7555723{col 42}{space 1}   -0.11{col 51}{space 3}0.912{col 59}{space 4} -1.56515{col 72}{space 3} 1.397192
{txt}{space 12}1968  {c |}{col 19}{res}{space 2}-.0997088{col 31}{space 2} .7549958{col 42}{space 1}   -0.13{col 51}{space 3}0.895{col 59}{space 4} -1.57975{col 72}{space 3} 1.380332
{txt}{space 12}1969  {c |}{col 19}{res}{space 2}-.3073233{col 31}{space 2} .7557839{col 42}{space 1}   -0.41{col 51}{space 3}0.684{col 59}{space 4}-1.788909{col 72}{space 3} 1.174262
{txt}{space 12}1970  {c |}{col 19}{res}{space 2}-.4064379{col 31}{space 2} .7572587{col 42}{space 1}   -0.54{col 51}{space 3}0.591{col 59}{space 4}-1.890915{col 72}{space 3} 1.078039
{txt}{space 12}1971  {c |}{col 19}{res}{space 2}-.7150946{col 31}{space 2} .7578466{col 42}{space 1}   -0.94{col 51}{space 3}0.345{col 59}{space 4}-2.200724{col 72}{space 3} .7705347
{txt}{space 12}1972  {c |}{col 19}{res}{space 2}-1.187553{col 31}{space 2} .7577601{col 42}{space 1}   -1.57{col 51}{space 3}0.117{col 59}{space 4}-2.673013{col 72}{space 3} .2979066
{txt}{space 12}1973  {c |}{col 19}{res}{space 2}-1.021518{col 31}{space 2} .7586614{col 42}{space 1}   -1.35{col 51}{space 3}0.178{col 59}{space 4}-2.508745{col 72}{space 3} .4657085
{txt}{space 12}1974  {c |}{col 19}{res}{space 2}-.9555555{col 31}{space 2} .7592873{col 42}{space 1}   -1.26{col 51}{space 3}0.208{col 59}{space 4}-2.444009{col 72}{space 3}  .532898
{txt}{space 12}1975  {c |}{col 19}{res}{space 2}-.8516466{col 31}{space 2} .7599201{col 42}{space 1}   -1.12{col 51}{space 3}0.262{col 59}{space 4}-2.341341{col 72}{space 3} .6380473
{txt}{space 12}1976  {c |}{col 19}{res}{space 2}-1.091956{col 31}{space 2}  .761594{col 42}{space 1}   -1.43{col 51}{space 3}0.152{col 59}{space 4}-2.584932{col 72}{space 3} .4010193
{txt}{space 12}1977  {c |}{col 19}{res}{space 2}-1.144444{col 31}{space 2} .7617546{col 42}{space 1}   -1.50{col 51}{space 3}0.133{col 59}{space 4}-2.637735{col 72}{space 3} .3488457
{txt}{space 12}1978  {c |}{col 19}{res}{space 2} -.775105{col 31}{space 2} .7626688{col 42}{space 1}   -1.02{col 51}{space 3}0.310{col 59}{space 4}-2.270187{col 72}{space 3} .7199773
{txt}{space 12}1979  {c |}{col 19}{res}{space 2}-.4070683{col 31}{space 2} .7674918{col 42}{space 1}   -0.53{col 51}{space 3}0.596{col 59}{space 4}-1.911605{col 72}{space 3} 1.097469
{txt}{space 12}1980  {c |}{col 19}{res}{space 2}-.3488841{col 31}{space 2} .7656924{col 42}{space 1}   -0.46{col 51}{space 3}0.649{col 59}{space 4}-1.849894{col 72}{space 3} 1.152126
{txt}{space 12}1981  {c |}{col 19}{res}{space 2}-.1897227{col 31}{space 2} .7663735{col 42}{space 1}   -0.25{col 51}{space 3}0.804{col 59}{space 4}-1.692067{col 72}{space 3} 1.312622
{txt}{space 12}1982  {c |}{col 19}{res}{space 2}-.1414355{col 31}{space 2} .7655455{col 42}{space 1}   -0.18{col 51}{space 3}0.853{col 59}{space 4}-1.642157{col 72}{space 3} 1.359286
{txt}{space 12}1983  {c |}{col 19}{res}{space 2} .1429573{col 31}{space 2} .7660442{col 42}{space 1}    0.19{col 51}{space 3}0.852{col 59}{space 4}-1.358742{col 72}{space 3} 1.644657
{txt}{space 12}1984  {c |}{col 19}{res}{space 2} .2494809{col 31}{space 2} .7656427{col 42}{space 1}    0.33{col 51}{space 3}0.745{col 59}{space 4}-1.251431{col 72}{space 3} 1.750393
{txt}{space 12}1985  {c |}{col 19}{res}{space 2} .5884885{col 31}{space 2} .7662487{col 42}{space 1}    0.77{col 51}{space 3}0.443{col 59}{space 4}-.9136117{col 72}{space 3} 2.090589
{txt}{space 12}1986  {c |}{col 19}{res}{space 2} .8268088{col 31}{space 2} .7673351{col 42}{space 1}    1.08{col 51}{space 3}0.281{col 59}{space 4}-.6774211{col 72}{space 3} 2.331039
{txt}{space 12}1987  {c |}{col 19}{res}{space 2} .9688883{col 31}{space 2} .7676088{col 42}{space 1}    1.26{col 51}{space 3}0.207{col 59}{space 4}-.5358782{col 72}{space 3} 2.473655
{txt}{space 12}1988  {c |}{col 19}{res}{space 2} 1.387889{col 31}{space 2} .7680608{col 42}{space 1}    1.81{col 51}{space 3}0.071{col 59}{space 4}-.1177636{col 72}{space 3} 2.893541
{txt}{space 12}1989  {c |}{col 19}{res}{space 2} 2.040824{col 31}{space 2} .7650276{col 42}{space 1}    2.67{col 51}{space 3}0.008{col 59}{space 4} .5411179{col 72}{space 3} 3.540531
{txt}{space 12}1990  {c |}{col 19}{res}{space 2} 2.787297{col 31}{space 2} .7669749{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} 1.283774{col 72}{space 3} 4.290821
{txt}{space 12}1991  {c |}{col 19}{res}{space 2} 3.293458{col 31}{space 2} .7652784{col 42}{space 1}    4.30{col 51}{space 3}0.000{col 59}{space 4}  1.79326{col 72}{space 3} 4.793656
{txt}{space 12}1992  {c |}{col 19}{res}{space 2} 3.725025{col 31}{space 2} .7646658{col 42}{space 1}    4.87{col 51}{space 3}0.000{col 59}{space 4} 2.226028{col 72}{space 3} 5.224023
{txt}{space 12}1993  {c |}{col 19}{res}{space 2} 3.993421{col 31}{space 2} .7646474{col 42}{space 1}    5.22{col 51}{space 3}0.000{col 59}{space 4}  2.49446{col 72}{space 3} 5.492382
{txt}{space 12}1994  {c |}{col 19}{res}{space 2} 4.273062{col 31}{space 2} .7643453{col 42}{space 1}    5.59{col 51}{space 3}0.000{col 59}{space 4} 2.774693{col 72}{space 3}  5.77143
{txt}{space 12}1995  {c |}{col 19}{res}{space 2} 4.296392{col 31}{space 2} .7664855{col 42}{space 1}    5.61{col 51}{space 3}0.000{col 59}{space 4} 2.793827{col 72}{space 3} 5.798956
{txt}{space 12}1996  {c |}{col 19}{res}{space 2} 4.297503{col 31}{space 2} .7676334{col 42}{space 1}    5.60{col 51}{space 3}0.000{col 59}{space 4} 2.792688{col 72}{space 3} 5.802317
{txt}{space 12}1997  {c |}{col 19}{res}{space 2} 4.420319{col 31}{space 2} .7697737{col 42}{space 1}    5.74{col 51}{space 3}0.000{col 59}{space 4} 2.911308{col 72}{space 3} 5.929329
{txt}{space 12}1998  {c |}{col 19}{res}{space 2} 4.570405{col 31}{space 2} .7695563{col 42}{space 1}    5.94{col 51}{space 3}0.000{col 59}{space 4} 3.061821{col 72}{space 3}  6.07899
{txt}{space 12}1999  {c |}{col 19}{res}{space 2} 4.695366{col 31}{space 2}  .771477{col 42}{space 1}    6.09{col 51}{space 3}0.000{col 59}{space 4} 3.183017{col 72}{space 3} 6.207716
{txt}{space 12}2000  {c |}{col 19}{res}{space 2} 4.821418{col 31}{space 2} .7733545{col 42}{space 1}    6.23{col 51}{space 3}0.000{col 59}{space 4} 3.305388{col 72}{space 3} 6.337448
{txt}{space 12}2001  {c |}{col 19}{res}{space 2} 4.979007{col 31}{space 2} .7759529{col 42}{space 1}    6.42{col 51}{space 3}0.000{col 59}{space 4} 3.457884{col 72}{space 3} 6.500131
{txt}{space 12}2002  {c |}{col 19}{res}{space 2} 4.924499{col 31}{space 2} .7781646{col 42}{space 1}    6.33{col 51}{space 3}0.000{col 59}{space 4}  3.39904{col 72}{space 3} 6.449958
{txt}{space 12}2003  {c |}{col 19}{res}{space 2} 5.015429{col 31}{space 2} .7792866{col 42}{space 1}    6.44{col 51}{space 3}0.000{col 59}{space 4}  3.48777{col 72}{space 3} 6.543087
{txt}{space 12}2004  {c |}{col 19}{res}{space 2} 5.078155{col 31}{space 2} .7821586{col 42}{space 1}    6.49{col 51}{space 3}0.000{col 59}{space 4} 3.544866{col 72}{space 3} 6.611444
{txt}{space 12}2005  {c |}{col 19}{res}{space 2} 5.159142{col 31}{space 2}  .785043{col 42}{space 1}    6.57{col 51}{space 3}0.000{col 59}{space 4} 3.620198{col 72}{space 3} 6.698085
{txt}{space 12}2006  {c |}{col 19}{res}{space 2} 5.182705{col 31}{space 2} .7873544{col 42}{space 1}    6.58{col 51}{space 3}0.000{col 59}{space 4} 3.639231{col 72}{space 3}  6.72618
{txt}{space 12}2007  {c |}{col 19}{res}{space 2} 5.108398{col 31}{space 2} .7881038{col 42}{space 1}    6.48{col 51}{space 3}0.000{col 59}{space 4} 3.563454{col 72}{space 3} 6.653341
{txt}{space 12}2008  {c |}{col 19}{res}{space 2} 5.251083{col 31}{space 2} .7893922{col 42}{space 1}    6.65{col 51}{space 3}0.000{col 59}{space 4} 3.703614{col 72}{space 3} 6.798552
{txt}{space 12}2009  {c |}{col 19}{res}{space 2} 5.273184{col 31}{space 2} .7887696{col 42}{space 1}    6.69{col 51}{space 3}0.000{col 59}{space 4} 3.726936{col 72}{space 3} 6.819433
{txt}{space 12}2010  {c |}{col 19}{res}{space 2} 5.281946{col 31}{space 2} .7902961{col 42}{space 1}    6.68{col 51}{space 3}0.000{col 59}{space 4} 3.732705{col 72}{space 3} 6.831187
{txt}{space 12}2011  {c |}{col 19}{res}{space 2} 5.560127{col 31}{space 2} .7914728{col 42}{space 1}    7.03{col 51}{space 3}0.000{col 59}{space 4}  4.00858{col 72}{space 3} 7.111675
{txt}{space 12}2012  {c |}{col 19}{res}{space 2} 5.531236{col 31}{space 2}  .793623{col 42}{space 1}    6.97{col 51}{space 3}0.000{col 59}{space 4} 3.975473{col 72}{space 3} 7.086999
{txt}{space 12}2013  {c |}{col 19}{res}{space 2} 5.695845{col 31}{space 2} .7943216{col 42}{space 1}    7.17{col 51}{space 3}0.000{col 59}{space 4} 4.138713{col 72}{space 3} 7.252978
{txt}{space 12}2014  {c |}{col 19}{res}{space 2} 5.465929{col 31}{space 2} .7954645{col 42}{space 1}    6.87{col 51}{space 3}0.000{col 59}{space 4} 3.906557{col 72}{space 3} 7.025302
{txt}{space 12}2015  {c |}{col 19}{res}{space 2}  5.56053{col 31}{space 2} .7944223{col 42}{space 1}    7.00{col 51}{space 3}0.000{col 59}{space 4} 4.003201{col 72}{space 3}  7.11786
{txt}{space 12}2016  {c |}{col 19}{res}{space 2} 5.470681{col 31}{space 2} .7950806{col 42}{space 1}    6.88{col 51}{space 3}0.000{col 59}{space 4} 3.912061{col 72}{space 3} 7.029301
{txt}{space 12}2017  {c |}{col 19}{res}{space 2}    5.425{col 31}{space 2} .7963312{col 42}{space 1}    6.81{col 51}{space 3}0.000{col 59}{space 4} 3.863928{col 72}{space 3} 6.986072
{txt}{space 12}2018  {c |}{col 19}{res}{space 2}   5.4181{col 31}{space 2} .7957675{col 42}{space 1}    6.81{col 51}{space 3}0.000{col 59}{space 4} 3.858134{col 72}{space 3} 6.978067
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.657891{col 31}{space 2} 1.350621{col 42}{space 1}   -1.97{col 51}{space 3}0.049{col 59}{space 4}-5.305554{col 72}{space 3}-.0102287
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} 5.3702941
          {txt}sigma_e {c |} {res} 4.0542408
              {txt}rho {c |} {res} .63697031{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}
F test that all u_i=0: F({res}101{txt}, {res}6486{txt}) = {res}69.01{col 62}{txt}Prob > F = {res}0.0000

{com}. 
. estimates store africa8

. 
. 
. 
. 
. 
. coefplot (europe1) (latin3) (africa4) (asia2), bylabel (Country FE)  || (europe5) (latin7) (africa8) (asia6), bylabel (Country & Year FE) ||, drop( _cons || 1.Africa || pri || 1.Africa) omitted xline(0, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2)) keep(1.Europe#1.edu_did_70 || 1.Asia#1.edu_did_70 || 1.Latin#1.edu_did_70 || 1.Africa#1.edu_did_70)
{res}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제32_아시아_민주주의\asian survey\data\code.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}13 Jul 2025, 10:30:46
{txt}{.-}
{smcl}
{txt}{sf}{ul off}